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  • Safari, an O’Reilly Media Company.  (1,112)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (423)
  • [Erscheinungsort nicht ermittelbar] : CRC Press  (343)
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  • 1
    Online Resource
    Online Resource
    Supercharge Your Applications with GraalVM (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800564909
    Language: English
    Pages: 1 online resource (356 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the internals and architecture of GraalVM with the help of hands-on experiments and gain deep knowledge that you can apply to improve your application's performance, interoperability, and throughput. Key Features Generate faster and leaner code with minimum computing resources for high performance Compile Java applications faster than ever to a standalone executable called native images Create high-performance polyglot applications that are compatible across various JVM and non-JVM languages Book Description GraalVM is a universal virtual machine that allows programmers to compile and run applications written in both JVM and non-JVM languages. It improves the performance and efficiency of applications, making it an ideal companion for cloud-native or microservices-based applications. This book is a hands-on guide, with step-by-step instructions on how to work with GraalVM. Starting with a quick introduction to the GraalVM architecture and how things work under the hood, you'll discover the performance benefits of running your Java applications on GraalVM. You'll then learn how to create native images and understand how AOT (ahead-of-time) can improve application performance significantly. The book covers examples of building polyglot applications that will help you explore the interoperability between languages running on the same VM. You'll also see how you can use the Truffle framework to implement any language of your choice to run optimally on GraalVM. By the end of this book, you'll not only have learned how GraalVM is beneficial in cloud-native and microservices development but also how to leverage its capabilities to create high-performing polyglot applications. What you will learn Gain a solid understanding of GraalVM and how it works under the hood Work with GraalVM's high performance optimizing compiler and see how it can be used in both JIT (just-in-time) and AOT (ahead-of-time) modes Get to grips with the various optimizations that GraalVM performs at runtime Use advanced tools to analyze and diagnose performance issues in the code Compile, embed, run, and interoperate between languages using Truffle on GraalVM Build optimum microservices using popular frameworks such as Micronaut and Quarkus to create cloud-native applications Who this book is for This book is for JVM developers looking to optimize their application's performance. You'll also find this book useful if you're a JVM developer looking to explore options to ...
    Note: Online resource; Title from title page (viewed June 30, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800566934
    Language: English
    Pages: 1 online resource (520 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master the Microsoft Azure platform and prepare for the AZ-304 certification exam by learning the key concepts needed to identify key stakeholder requirements and translate these into robust solutions Key Features Build secure and scalable solutions on the Microsoft Azure platform Learn how to design solutions that are compliant with customer requirements Work with real-world scenarios to become a successful Azure architect, and prepare for the AZ-304 exam Book Description The AZ-304 exam tests an architect's ability to design scalable, reliable, and secure solutions in Azure based on customer requirements. Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond offers complete, up-to-date coverage of the AZ-304 exam content to help you prepare for it confidently, pass the exam first time, and get ready for real-world challenges. This book will help you to investigate the need for good architectural practices and discover how they address common concerns for cloud-based solutions. You will work through the CloudStack, from identity and access through to infrastructure (IaaS), data, applications, and serverless (PaaS). As you make progress, you will delve into operations including monitoring, resilience, scalability, and disaster recovery. Finally, you'll gain a clear understanding of how these operations fit into the real world with the help of full scenario-based examples throughout the book. By the end of this Azure book, you'll have covered everything you need to pass the AZ-304 certification exam and have a handy desktop reference guide. What you will learn Understand the role of architecture in the cloud Ensure security through identity, authorization, and governance Find out how to use infrastructure components such as compute, containerization, networking, and storage accounts Design scalable applications and databases using web apps, functions, messaging, SQL, and Cosmos DB Maintain operational health through monitoring, alerting, and backups Discover how to create repeatable and reliable automated deployments Understand customer requirements and respond to their changing needs Who this book is for This book is for Azure Solution Architects who advise stakeholders and help translate business requirements into secure, scalable, and reliable solutions. Junior architects looking to advance their skills in the Cloud will also benefit from this book. Experience with the Azure platform is expected, and a general understandi...
    Note: Online resource; Title from title page (viewed July 23, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    TensorFlow 2 Reinforcement Learning Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838982546
    Language: English
    Pages: 1 online resource (472 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key Features Develop and deploy deep reinforcement learning-based solutions to production pipelines, products, and services Explore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic method Customize and build RL-based applications for performing real-world tasks Book Description With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you'll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch. What you will learn Build deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras API Implement state-of-the-art deep reinforcement learning algorithms using minimal code Build, train, and package deep RL agents for cryptocurrency and stock trading Deploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud services Speed up agent development using distributed DNN model training Explore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service) Who this book is for The book is for machine learning application developers, AI and applied AI researchers, data scientis...
    Note: Online resource; Title from title page (viewed January 15, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Supercharge Your Slack Productivity (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800569621
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build Slack bots to automate your work and enhance your team's productivity with Salesforce-powered Slack in a faster, better organized, and more secure way Key Features Get to grips with setting up and creating Slack bots for your organization Integrate Slack with tools such as nTask and Tettra to manage all your applications in one place Understand when to buy and when to build bots Book Description Slack is an online communication tool that allows workplace teams to collaborate efficiently, effectively, and securely. It's the leading channel-based messaging platform used by millions to align their teams, unify their systems, and drive their businesses forward. As a developer, you can use Slack to create tools such as bots that handle and maintain routine and time-consuming tasks. If you're looking to set up a Slack workplace or build a Slack bot or app, this is the book for you. In this book, you'll explore scenarios that show you how to set up a Slack workplace, build a Slack bot, or integrate your favorite tools. You'll also learn how Slack can help you create a more collaborative, efficient, and coordinated work environment from any location. As you advance through the chapters, you'll find out how to manage your tasks and boost your business productivity by automating the trivial tasks. You'll also cover more advanced features such as using a Slack bot to complete tasks, including automating message responses and accessing personal reminders. By the end of this Slack book, you'll have learned how to use Slack effectively to communicate with your team and build bots and have gained a solid understanding of how the platform can help you to progress in your industry. What you will learn Understand how to set up a Slack workspace Migrate existing workspaces to your organization Explore expert tips and techniques for using Slack effectively Improve collaboration within your team by integrating multiple apps with Slack Find the right bots and apps to use for your workspace Discover how to build your own Slack bot Explore the right channels on Slack to improve your presence in professional communities Find the best solutions for automating your work directly through Slack Who this book is for Supercharge your Slack Productivity is for professionals in organizations, businesses, or communities who are already using Slack or looking to use it for improving communication. With this book, you'll understand how Slack can make your work life simpler...
    Note: Online resource; Title from title page (viewed April 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Mastering PyTorch (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789614381
    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more Book Description Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models. What you will learn Implement text and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Export universal PyTorch models using Open Neural Network Exchange (ONNX) Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning (ML) models written in PyTorch using Captum Design ResNets, LSTMs, Transformers, and more using PyTorch Find out how to use PyTorch for distributed training using the torch.distributed API Who this book is for This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Machine Learning Using TensorFlow Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208865
    Language: English
    Pages: 1 online resource (416 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master TensorFlow to create powerful machine learning algorithms, with valuable insights on Keras, Boosted Trees, Tabular Data, Transformers, Reinforcement Learning and more Key Features Work with the latest code and examples for TensorFlow 2 Get to grips with the fundamentals including variables, matrices, and data sources Learn advanced deep learning techniques to make your algorithms faster and more accurate Book Description The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. You will work through recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google's machine learning library, TensorFlow. This cookbook begins by introducing you to the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You'll then take a deep dive into some real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted trees, both for classification and for regression to provide a baseline for tabular data problems. As you progress, you'll explore the practical applications of a variety of deep learning architectures, such as recurrent neural networks and Transformers, and see how they can be applied to computer vision and natural language processing (NLP) problems. Once you are familiar with the TensorFlow ecosystem, the final chapter will teach you how to take a project to production. By the end of this machine learning book, you will be proficient in using TensorFlow 2. You'll also understand deep learning from the fundamentals and be able to implement machine learning algorithms in real-world scenarios. What you will learn Grasp linear regression techniques with TensorFlow Use Estimators to train linear models and boosted trees for classification or regression Execute neural networks and improve predictions on tabular data Master convolutional neural networks and recurrent neural networks through practical recipes Apply reinforcement learning algorithms using the TF-Agents framework Implement and fine-tune Transformer models for various NLP tasks Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer, and you want to skip detailed theoretical explanations in favor of building production-ready machine le...
    Note: Online resource; Title from title page (viewed February 8, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Incident Response in the Age of Cloud (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800569218
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn to identify a security incident and build a series of best practices to stop a cyberattack before it creates serious consequences Key Features Discover Incident Response (IR), from its evolution to implementation Understand cybersecurity essentials and IR best practices through real-world phishing incident scenarios Explore the current challenges in IR through the perspectives of leading figures in the cybersecurity community Book Description Cybercriminals are always in search of new methods and ways to infiltrate systems. Quickly responding to an incident should help an organization minimize its losses, decrease vulnerabilities, and rebuild services and processes. In the wake of the COVID-19 pandemic, with most organizations gravitating towards remote working and cloud computing, this book provides updated IR processes to address the associated security risks. The book begins by introducing you to the cybersecurity landscape and explaining why IR matters. You will understand the evolution of IR, current challenges, key metrics, and the composition of an IR team, along with an array of methods and tools used in an effective IR process. You will then learn how to apply this conceptual toolkit, with discussions on incident alerting, handling, investigation, recovery, and reporting. Further, you will cover governing IR on multiple platforms and sharing cyber threat intelligence, and the procedures involved in IR in the cloud – the challenges, opportunities, and how to secure your cloud environments. Finally, the book concludes with an “Ask the Experts” section where industry experts have provided their perspective on diverse topics in the IR sphere. By the end of this book, you should become proficient at building and applying IR strategies pre-emptively and confidently. What you will learn Understand IR and its significance Organize an IR team Explore best practices for managing attack situations with your IR team Form, organize, and operate a product security team to deal with product vulnerabilities and assess their severity Organize all the entities involved in product security response Respond to a security vulnerability based on Keepnet Labs processes and practices Adapt all the above learnings for the cloud Who this book is for This book is aimed at first-time incident responders, cybersecurity enthusiasts who want to get into IR, and anyone who is responsible for maintaining business security. It will also interest CIOs, CISOs, and...
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    How to Build Android Apps with Kotlin (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838984113
    Language: English
    Pages: 1 online resource (794 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Master the fundamentals of Android programming and apply your skills to create scalable and reliable apps using industry best practices Key Features Build apps with Kotlin, Google's preferred programming language for Android development Unlock solutions to development challenges with guidance from experienced Android professionals Improve your apps by adding valuable features that make use of advanced functionality Book Description Are you keen to get started building Android 11 apps, but don't know where to start? How to Build Android Apps with Kotlin is a comprehensive guide that will help kick-start your Android development practice. This book starts with the fundamentals of app development, enabling you to utilize Android Studio and Kotlin to get started building Android projects. You'll learn how to create apps and run them on virtual devices through guided exercises. Progressing through the chapters, you'll delve into Android's RecyclerView to make the most of lists, images, and maps, and see how to fetch data from a web service. Moving ahead, you'll get to grips with testing, learn how to keep your architecture clean, understand how to persist data, and gain basic knowledge of the dependency injection pattern. Finally, you'll see how to publish your apps on the Google Play store. You'll work on realistic projects that are split up into bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. You'll build apps to create quizzes, read news articles, check weather reports, store recipes, retrieve movie information, and remind you where you parked your car. By the end of this book, you'll have the skills and confidence to build your own creative Android applications using Kotlin. What you will learn Create maintainable and scalable apps using Kotlin Understand the Android development lifecycle Simplify app development with Google architecture components Use standard libraries for dependency injection and data parsing Apply the repository pattern to retrieve data from outside sources Publish your app on the Google Play store Who this book is for If you want to build your own Android applications using Kotlin but are unsure of how to begin, then this book is for you. To easily grasp the concepts in this book, it is recommended that you already have a basic understanding of Kotlin, or experience in a similar programming language and a willingness to brush up on Kotlin before you start.
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Getting Started with Google BERT (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838821593
    Language: English
    Pages: 1 online resource (352 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers library Key Features Explore the encoder and decoder of the transformer model Become well-versed with BERT along with ALBERT, RoBERTa, and DistilBERT Discover how to pre-train and fine-tune BERT models for several NLP tasks Book Description BERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results. This book is an introductory guide that will help you get to grips with Google's BERT architecture. With a detailed explanation of the transformer architecture, this book will help you understand how the transformer's encoder and decoder work. You'll explore the BERT architecture by learning how the BERT model is pre-trained and how to use pre-trained BERT for downstream tasks by fine-tuning it for NLP tasks such as sentiment analysis and text summarization with the Hugging Face transformers library. As you advance, you'll learn about different variants of BERT such as ALBERT, RoBERTa, and ELECTRA, and look at SpanBERT, which is used for NLP tasks like question answering. You'll also cover simpler and faster BERT variants based on knowledge distillation such as DistilBERT and TinyBERT. The book takes you through MBERT, XLM, and XLM-R in detail and then introduces you to sentence-BERT, which is used for obtaining sentence representation. Finally, you'll discover domain-specific BERT models such as BioBERT and ClinicalBERT, and discover an interesting variant called VideoBERT. By the end of this BERT book, you'll be well-versed with using BERT and its variants for performing practical NLP tasks. What you will learn Understand the transformer model from the ground up Find out how BERT works and pre-train it using masked language model (MLM) and next sentence prediction (NSP) tasks Get hands-on with BERT by learning to generate contextual word and sentence embeddings Fine-tune BERT for downstream tasks Get to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT models Get the hang of the BERT models based on knowledge distillation Understand cross-lingual models such as XLM and XLM-R Explore Sentence-BERT, VideoBERT, and BART Who this book is for This book is for NLP professionals and data scientists looking to simplify NLP tasks to enable efficient language understanding using BERT. A basic understanding of NLP con...
    Note: Online resource; Title from title page (viewed January 22, 2021) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    PostgreSQL 13 Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838648138
    Language: English
    Pages: 1 online resource (344 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with building reliable, scalable, and maintainable database solutions for enterprises and production databases Key Features Implement PostgreSQL 13 features to perform end-to-end modern database management Design, manage, and build enterprise database solutions using a unique recipe-based approach Solve common and not-so-common challenges faced while working to achieve optimal database performance Book Description PostgreSQL has become the most advanced open source database on the market. This book follows a step-by-step approach, guiding you effectively in deploying PostgreSQL in production environments. The book starts with an introduction to PostgreSQL and its architecture. You'll cover common and not-so-common challenges faced while designing and managing the database. Next, the book focuses on backup and recovery strategies to ensure your database is steady and achieves optimal performance. Throughout the book, you'll address key challenges such as maintaining reliability, data integrity, a fault-tolerant environment, a robust feature set, extensibility, consistency, and authentication. Moving ahead, you'll learn how to manage a PostgreSQL cluster and explore replication features for high availability. Later chapters will assist you in building a secure PostgreSQL server, along with covering recipes for encrypting data in motion and data at rest. Finally, you'll not only discover how to tune your database for optimal performance but also understand ways to monitor and manage maintenance activities, before learning how to perform PostgreSQL upgrades during downtime. By the end of this book, you'll be well-versed with the essential PostgreSQL 13 features to build enterprise relational databases. What you will learn Understand logical and physical backups in Postgres Demonstrate the different types of replication methods possible with PostgreSQL today Set up a high availability cluster that provides seamless automatic failover for applications Secure a PostgreSQL encryption through authentication, authorization, and auditing Analyze the live and historic activity of a PostgreSQL server Understand how to monitor critical services in Postgres 13 Manage maintenance activities and performance tuning of a PostgreSQL cluster Who this book is for This PostgreSQL book is for database architects, database developers and administrators, or anyone who wants to become well-versed with PostgreSQL 13 features to plan, manage, and design effic...
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    Automated Machine Learning (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800567689
    Language: English
    Pages: 1 online resource (312 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key Features Get up to speed with AutoML using OSS, Azure, AWS, GCP, or any platform of your choice Eliminate mundane tasks in data engineering and reduce human errors in machine learning models Find out how you can make machine learning accessible for all users to promote decentralized processes Book Description Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort. This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you'll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle. By the end of this machine learning book, you'll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks. What you will learn Explore AutoML fundamentals, underlying methods, and techniques Assess AutoML aspects such as algorithm selection, auto featurization, and hyperparameter tuning in an applied scenario Find out the difference between cloud and operations support systems (OSS) Implement AutoML in enterprise cloud to deploy ML models and pipelines Build explainable AutoML pipelines with transparency Understand automated feature engineering and time series forecasting Automate data science modeling tasks to implement ML solutions easily and focus on more complex problems Who this book is for Citizen data scientists, machine learning developers, artificial intelligence enthusiasts, or anyone looking to automatically build machine l...
    Note: Online resource; Title from title page (viewed February 18, 2021) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    Modernizing Oracle Tuxedo Applications with Python (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801070584
    Language: English
    Pages: 1 online resource (202 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn Tuxedo by developing solutions in Python for real-world problems Key Features Understand Tuxedo through a modern lens by experimenting with Python code Boost your productivity by using Python programming to perform common Tuxedo programming tasks Manage real-world integration tasks with small Python programs Book Description Despite being developed in the 1980s, Oracle Tuxedo still runs a significant part of critical infrastructure and is not going away any time soon. Modernizing Oracle Tuxedo Applications with Python will help you get to grips with the most important Tuxedo concepts by writing Python code. The book starts with an introduction to Oracle Tuxedo and guides you in installing its latest version and Python bindings for Tuxedo on Linux. You'll then learn how to build your first server and client, configure Tuxedo, and start running an application. As you advance, you'll understand load balancing and work with the BBL server, which is at the heart of a Tuxedo application. This Tuxedo book will also cover Boolean expressions and different ways to export Tuxedo buffers for storage and transmission, before showing you how to implement servers and clients and use the management information base to change the configuration dynamically. Once you've learned how to configure Tuxedo for transactions and control them in application code, you'll discover how to use the store-and-forward functionality to reach destinations and use an Oracle database from a Tuxedo application. By the end of this Oracle Tuxedo book, you'll be able to perform common Tuxedo programming tasks with Python and integrate Tuxedo applications with other parts of modern infrastructure. What you will learn Understand Oracle Tuxedo as a microservice platform Develop Oracle Tuxedo applications using Python 3 Perform administration tasks programmatically with Python 3 Extract Tuxedo statistics for monitoring application performance Integrate Tuxedo into the modern software ecosystem Understand how distributed transactions work in Tuxedo Who this book is for This book is for developers who are new to Tuxedo and are looking to develop a new modern front-end or integrate Tuxedo in their applications. The book will also help experienced Tuxedo, C or COBOL developers to improve their productivity and QA engineers to automate Tuxedo application tests. Beginner-level knowledge of Python and Linux shell is required before getting started with this book.
    Note: Online resource; Title from title page (viewed March 19, 2021) , Mode of access: World Wide Web.
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  • 13
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    Mastering Adobe Animate 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801074162
    Language: English
    Pages: 1 online resource (404 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Step into the world of animation and go beyond the fundamentals of Adobe Animate to bring experiences to life through expert-led content Key Features Produce rich motion graphics and interactive animations for multiple platforms and discover different ways to use Animate Explore the key features and enhancements in the latest Adobe Animate release Take your Adobe Animate projects to the next level by delving into creative workflows Book Description Adobe Animate is platform-agnostic asset creation, motion design, animation, and interactivity software. Complete with step-by-step explanations of essential concepts, practical examples, and hands-on walkthroughs, this book shows you how to use Adobe Animate to create immersive experiences by breaking through creative limitations across every medium. You will begin by getting up to speed with what you need to know about Adobe Animate quickly. Next, you will learn how to get started with Animate as a creative platform and explore the features introduced in the most recent version of the software. Moving on, you'll consume and produce media assets for multiple platforms through both the publish and export workflows. Following this, you'll delve into advanced rigging techniques and discover how to create more dynamic animation with advanced depth and movement techniques. You'll also find out how to build projects such as games, virtual reality experiences, and apps for various platforms. The book concludes with an examination of different methods used to extend the software for various needs. By the end of this book, you'll be able to produce a variety of media assets, motion design materials and animated artifacts, and interactive content pieces - all while targeting a variety of platforms including HTML5 Canvas, WebGL, and mobile devices. What you will learn Gain a solid understanding of Adobe Animate foundations and new features Understand the nuances associated with publishing and exporting rich media content for various platforms Make use of advanced layering and rigging techniques to create engaging motion content Create dynamic motion by using the camera and variable layer depth techniques Develop web-based games, virtual reality experiences, and multiplatform mobile applications Extend Animate with extensions, application-level scripting, and the creation of custom integrated tutorials Who this book is for This book is for web, graphic, and motion design professionals with basic experience in ...
    Note: Online resource; Title from title page (viewed February 4, 2021) , Mode of access: World Wide Web.
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  • 14
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    Versionsverwaltung mit Git (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747503065
    Language: English , German
    Pages: 1 online resource (328 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Von grundlegenden Funktionen über die Handhabung von Branches und Remote-Repositories bis zu Tipps und Tricks für (nicht nur) alltägliche Funktionen Auswahl sinnvoller Workflows und Einsatz in Teams Git-Repositories hosten mit GitHub und GitLab Git ist in der Softwareentwicklung bereits weit verbreitet – sowohl in Firmen als auch in Open-Source-Projekten. Zum Einstieg lernen Anfänger häufig nur die wichtigsten Befehle, die schnell nicht mehr ausreichen, vor allem wenn die ersten Fehler auftreten. Dieses Buch behandelt einerseits die gängigen Befehle, die Sie beim täglichen Arbeiten mit Git brauchen. Andererseits geht es dem Autor auch darum, dass Sie Git als Ganzes verstehen, um es effektiv im Entwicklungsprozess einsetzen zu können. Der Fokus des Buchs liegt auf dem praktischen Arbeiten mit Git. Sie lernen anhand eines Projekts, welche Befehle es gibt, wie diese arbeiten und wie Sie auftretende Probleme lösen können. Neben alltäglichen Funktionen finden Sie auch seltener gebrauchte Kommandos, die aber ebenfalls wichtig sind. Dabei legt der Autor großen Wert auf die Einbindung und Anpassung des Entwicklungsprozesses. Im zweiten Teil des Buchs werden fortgeschrittene Themen behandelt. Der Schwerpunkt liegt auf dem Einsatz von Git in Teams. Darunter etwa das Hosten verteilter Repositories mit GitHub und GitLab. Ein weiteres Kapitel behandelt die Workflows, die je nach Anzahl der beteiligten Personen, Branches und Repositories eines Projekts variieren. Darüber hinaus gibt Ihnen der Autor hilfreiche Informationen für den Umstieg von Subversion, einen Überblick über grafische Git-Programme, Hinweise für eine langfristig nachvollziehbare Git-Historie sowie eine Einführung in DevOps, wofür Git die technische Grundlage bildet. Ein Kapitel zu häufig gestellten Fragen rundet diesen Praxiseinstieg ab. Das Buch richtet sich sowohl an blutige Einsteiger als auch an erfahrene Leser. Aus dem Inhalt: Konfiguration Arbeiten mit Branches Verteilte Repositories Hosting mit GitHub und GitLab Workflows Hooks Umstieg von Subversion Zahlreiche Tipps für die tägliche Arbeit Grafische Clients Tipps für nachvollziehbare Git-Historien Frequently Asked Questions Einstieg in DevOps Befehlsreferenz
    Note: Online resource; Title from title page (viewed February 18, 2021) , Mode of access: World Wide Web.
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  • 15
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    Interpretable Machine Learning with Python (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800203907
    Language: English
    Pages: 1 online resource (736 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book Description Do you want to understand your models and mitigate risks associated with poor predictions using machine learning (ML) interpretation? Interpretable Machine Learning with Python can help you work effectively with ML models. The first section of the book is a beginner's guide to interpretability, covering its relevance in business and exploring its key aspects and challenges. You'll focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. The second section will get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, the book also helps the reader to interpret model outcomes using examples. In the third section, you'll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you'll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naive Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is for data scientists, machine learning developers, and data stewards who have an increasin...
    Note: Online resource; Title from title page (viewed March 26, 2021) , Mode of access: World Wide Web.
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  • 16
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    Transformers for Natural Language Processing (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565791
    Language: English
    Pages: 1 online resource (384 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Become an AI language understanding expert by mastering the quantum leap of Transformer neural network models Key Features Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning models Go through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machine Learn training tips and alternative language understanding methods to illustrate important key concepts Book Description The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets. What you will learn Use the latest pretrained transformer models Grasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer models Create language understanding Python programs using concepts that outperform classical deep learning models Use a variety of NLP platforms, including Hugging Face, Trax, and AllenNLP Apply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and more Measure the productivity of key transformers to define their scope, potential, and...
    Note: Online resource; Title from title page (viewed January 29, 2021) , Mode of access: World Wide Web.
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  • 17
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    UI Testing with Puppeteer (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800206786
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Write fail-safe automation tests, device emulation, and browser automation using Puppeteer's Google-powered API Key Features Get up and running with Puppeteer and discover best practices for automation testing Automate your modern web applications using Jest and Mocha with Puppeteer Generate screenshots using Puppeteer and find out how they can be used for UI regression tests Book Description Puppeteer is an open source web automation library created by Google to perform tasks such as end-to-end testing, performance monitoring, and task automation with ease. Using real-world use cases, this book will take you on a pragmatic journey, helping you to learn Puppeteer and implement best practices to take your automation code to the next level! Starting with an introduction to headless browsers, this book will take you through the foundations of browser automation, showing you how far you can get using Puppeteer to automate Google Chrome and Mozilla Firefox. You'll then learn the basics of end-to-end testing and understand how to create reliable tests. You'll also get to grips with finding elements using CSS selectors and XPath expressions. As you progress through the chapters, the focus shifts to more advanced browser automation topics such as executing JavaScript code inside the browser. You'll learn various use cases of Puppeteer, such as mobile devices or network speed testing, gauging your site's performance, and using Puppeteer as a web scraping tool. By the end of this UI testing book, you'll have learned how to make the most of Puppeteer's API and be able to apply it in your real-world projects. What you will learn Understand browser automation fundamentals Explore end-to-end testing with Puppeteer and its best practices Apply CSS Selectors and XPath expressions to web automation Discover how you can leverage the power of web automation as a developer Emulate different use cases of Puppeteer such as network speed tests and geolocation Get to grips with techniques and best practices for web scraping and web content generation Who this book is for The book is for testing professionals, QA engineers, and test automation enthusiasts who want to perform end-to-end testing using Google's developer tools. Web developers who want to learn how to use Puppeteer for generating content, scraping websites, and evaluating website performance will find this book useful. Although knowledge of Node.js isn't necessary, basic JavaScript knowledge will assist w...
    Note: Online resource; Title from title page (viewed March 11, 2021) , Mode of access: World Wide Web.
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  • 18
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    Engineering MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800562882
    Language: English
    Pages: 1 online resource (370 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get up and running with machine learning life cycle management and implement MLOps in your organization Key Features Become well-versed with MLOps techniques to monitor the quality of machine learning models in production Explore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed models Perform CI/CD to automate new implementations in ML pipelines Book Description MLOps is a systematic approach to building, deploying, and monitoring machine learning (ML) solutions. It is an engineering discipline that can be applied to various industries and use cases. This book presents comprehensive insights into MLOps coupled with real-world examples to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production. The book begins by showing you how to monitor ML and system performance in production. You'll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You'll understand how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitoring pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you'll apply the knowledge you've gained to build real-world projects. By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization. What you will learn Formulate data governance strategies and pipelines for ML training and deployment Get to grips with implementing ML pipelines, CI/CD pipelines, and ML monitoring pipelines Design a robust and scalable microservice and API for test and production environments Curate your custom CD processes for related use cases and organizations Monitor ML models, including monitoring data drift, model drift, and application performance Build and maintain automated ML systems Who this book is for This MLOps book is for data scientists, software engineers, DevOps engineers, machine learning engineers, and business and technology leaders who want to build, deploy, and maintain ML systems in production using MLOps principles and techniques. Basic knowledge of machine learning is necessary to get started with this book.
    Note: Online resource; Title from title page (viewed April 19, 2021) , Mode of access: World Wide Web.
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  • 19
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    Scalable Data Streaming with Amazon Kinesis (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565401
    Language: English
    Pages: 1 online resource (314 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key Features Get well versed with the capabilities of Amazon Kinesis Explore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis services Learn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis data Book Description Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you'll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you'll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learn Get to grips with data streams, decoupled design, and real-time stream processing Understand the properties of KFH that differentiate it from other Kinesis services Monitor and scale KDS using CloudWatch metrics Secure KDA with identity and access management (IAM) Deploy KVS as infrastructure as code (IaC) Integrate services such as Redshift, Dynamo Database, and Splunk into Kinesis Who this book is for This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, sc...
    Note: Online resource; Title from title page (viewed March 31, 2021) , Mode of access: World Wide Web.
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  • 20
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    Becoming a PMP® Certified Professional (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838989309
    Language: English
    Pages: 1 online resource (826 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Pass the PMP 2021 exam with confidence with the help of practical and up-to-date coverage of project management practices from the 6th edition of the PMBOK® Guide Key Features Written by J. Ashley Hunt, an experienced PMP® trainer with over 20 years of project management experience Learn with the help of PMP® practice tests, exam tips, and best practices from the PMBOK® Guide Effectively plan core project work aspects such as scope, cost, quality, procurement, and communication Book Description One of the five most prestigious certifications in the world, the PMP® exam is said to be the most difficult non-technical certification exam. With this exam guide, you'll be able to address the challenges in learning advanced project management concepts. This PMP study guide covers all of the 10 project management knowledge areas, 5 process groups, 49 processes, and aspects of the Agile Practice Guide that you need to tailor your projects. With this book, you will understand the best practices found in the sixth edition of the PMBOK® Guide and the newly updated exam content outline. Throughout the book, you'll learn exam objectives in the form of a project for better understanding and effective implementation of real-world project management tasks, helping you to not only prepare for the exam but also implement project management best practices. Finally, you'll get to grips with the entire application and testing processes in PMP® and discover numerous tips and techniques for passing the exam on your first attempt. By the end of this PMP® exam prep book, you'll have a solid understanding of everything you need to pass the PMP® certification exam, and be able to use this handy, on-the-job desktop reference guide to overcome challenges in project management. What you will learn Understand how to fill out the exam application and what to expect on the day of the exam Get a comprehensive overview of project management processes, knowledge areas, and project execution Explore project and organization structures and other factors influencing projects Manage risk, scheduling, and cost using expert tips and insights Acquire and manage resources and communication in project work Monitor and control projects from planning to execution Discover professional responsibility, study tips, and what's in store for certified project management professionals Who this book is for If you are an experienced project manager looking for a common language and best practices in...
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
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  • 21
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    Python 3 Schnelleinstieg (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747503300
    Language: English , German
    Pages: 1 online resource (288 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Programmieren lernen in 14 Tagen Einfach und ohne Vorkenntnisse zum Profi Programmieren lernen ohne Vorkenntnisse In 14 Kapiteln Schritt für Schritt zum Profi Einfache Praxisbeispiele und Übungsaufgaben Inklusive kostenlosem E-Book zum Download Mit diesem Buch gelingt Ihnen der Einstieg in die Python-Programmierung ohne Mühe. Sie benötigen keinerlei Vorkenntnisse. Alle Grundlagen werden anschaulich und einfach nachvollziehbar anhand von Codebeispielen erklärt. Übungsaufgaben in unterschiedlichen Schwierigkeitsstufen am Ende der Kapitel helfen Ihnen, das neu gewonnene Wissen praktisch anzuwenden und zu vertiefen. Der Autor führt Sie Schritt für Schritt in die Welt der Programmierung ein: von den Grundlagen über Objektorientierung bis zur Entwicklung von Anwendungen mit grafischer Benutzungsoberfläche. Dabei lernen Sie ebenfalls, was guten Programmierstil ausmacht und wie man Fehler in Programmtexten finden und von vornherein vermeiden kann. So gelingt es Ihnen in Kürze, Python effektiv in der Praxis einzusetzen. Alle Grundlagen einfach erläutert Verarbeitung von Texten und Bildern Objektorientierte Programmierung Grafische Benutzungsoberflächen mit tkinter Testen, Debugging und Performance-Analyse Übungsaufgaben in drei verschiedenen Schwierigkeitsstufen Programmcode, Lösungen und Glossar zum Download Über den Autor: Michael Weigend hat an der Universität Potsdam in Informatik promoviert. Er war mehr als 30 Jahre lang als Lehrer tätig und hat 20 Jahre an der Fern-Universität Hagen Seminare zur Didaktik der Informatik gegeben. An der Universität Münster hält er im Rahmen eines Lehrauftrags Vorlesungen zur Python-Programmierung. Darüber hinaus engagiert er sich in mehreren nationalen und internationalen Communities für den Computer-Einsatz in der Bildung, darunter Constructionism , International Federation for Information Processing (TC 3 Computers in Education) , Bebras – International Contest on Informatics and Computational Thinking . Er hat über 60 wissenschaftliche Artikel veröffentlicht und mehrere Bücher zu den Themen Programmierung, Web Development und visuelle Modellierung geschrieben.
    Note: Online resource; Title from title page (viewed March 30, 2021) , Mode of access: World Wide Web.
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  • 22
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    Building Low-Code Applications with Mendix (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201422
    Language: English
    Pages: 1 online resource (332 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Transform your app ideas into fully functional prototypes with the help of expert tips and best practices from Mendix partners Key Features Meet the ever-increasing demand for software solution delivery without having to write any code Build high-availability, low-cost applications unlike those developed via a traditional software engineering approach Explore Mendix from product design through to delivery using real-world scenarios Book Description Low-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects. The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you'll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you'll understand how to enhance it with custom business logic and rules. Next, you'll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You'll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully. By the end of this book, you'll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app. What you will learn Gain a clear understanding of what low-code development is and the factors driving its adoption Become familiar with the various features of Mendix for rapid application development Discover concrete use cases of Studio Pro Build a fully functioning web application that meets your business requirements Get to grips with Mendix fundamentals to prepare for the Mendix certification exam Understand the key concepts of app development such as data management, APIs, troubleshooting, and debugging Who this book is for This book is for tech-savvy business analysts and citizen developers who want to get started with Mendix for rapid mobile and web appl...
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
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  • 23
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    Artificial Intelligence for IoT Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838981983
    Language: English
    Pages: 1 online resource (260 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Roshak, Michael Artificial Intelligence for IoT cookbook
    Keywords: Electronic books ; local ; Künstliche Intelligenz ; Internet der Dinge ; Smart Device ; Smart City
    Abstract: Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover quick solutions to common problems that you'll face while building smart IoT applications Implement advanced techniques such as computer vision, NLP, and embedded machine learning Build, maintain, and deploy machine learning systems to extract key insights from IoT data Book Description Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems. What you will learn Explore various AI techniques to build smart IoT solutions from scratch Use machine learning and deep learning techniques to build smart voice recognition and facial detection systems Gain insights into IoT data using algorithms and implement them in projects Perform anomaly detection for time series data and other types of IoT data Implement embedded systems learning techniques for machine learning on small devices Apply pre-trained machine learning models to an edge device Deploy machine learning models to web apps and mobile using TensorFlow.js and Java Who this book is for If you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without ...
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    Architecting High-Performance Embedded Systems (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789955965
    Language: English
    Pages: 1 online resource (376 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the complete process of developing systems based on field-programmable gate arrays (FPGAs), including the design of electronic circuits and the construction and debugging of prototype embedded devices Key Features Learn the basics of embedded systems and real-time operating systems Understand how FPGAs implement processing algorithms in hardware Design, construct, and debug custom digital systems from scratch using KiCad Book Description Modern digital devices used in homes, cars, and wearables contain highly sophisticated computing capabilities composed of embedded systems that generate, receive, and process digital data streams at rates up to multiple gigabits per second. This book will show you how to use Field Programmable Gate Arrays (FPGAs) and high-speed digital circuit design to create your own cutting-edge digital systems. Architecting High-Performance Embedded Systems takes you through the fundamental concepts of embedded systems, including real-time operation and the Internet of Things (IoT), and the architecture and capabilities of the latest generation of FPGAs. Using powerful free tools for FPGA design and electronic circuit design, you'll learn how to design, build, test, and debug high-performance FPGA-based IoT devices. The book will also help you get up to speed with embedded system design, circuit design, hardware construction, firmware development, and debugging to produce a high-performance embedded device – a network-based digital oscilloscope. You'll explore techniques such as designing four-layer printed circuit boards with high-speed differential signal pairs and assembling the board using surface-mount components. By the end of the book, you'll have a solid understanding of the concepts underlying embedded systems and FPGAs and will be able to design and construct your own sophisticated digital devices. What you will learn Understand the fundamentals of real-time embedded systems and sensors Discover the capabilities of FPGAs and how to use FPGA development tools Learn the principles of digital circuit design and PCB layout with KiCad Construct high-speed circuit board prototypes at low cost Design and develop high-performance algorithms for FPGAs Develop robust, reliable, and efficient firmware in C Thoroughly test and debug embedded device hardware and firmware Who this book is for This book is for software developers, IoT engineers, and anyone who wants to understand the process of developing high-performan...
    Note: Online resource; Title from title page (viewed February 5, 2021) , Mode of access: World Wide Web.
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    Architecting Google Cloud Solutions (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563308
    Language: English
    Pages: 1 online resource (472 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Achieve your infrastructure goals and optimize business processes by designing robust, highly available, and dynamic solutions Key Features Gain hands-on experience in designing and managing high-performance cloud solutions Leverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and services Use Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutions Book Description Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform. What you will learn Get to grips with compute, storage, networking, data analytics, and pricing Discover delivery models such as IaaS, PaaS, and SaaS Explore the underlying technologies and economics of cloud computing Design for scalability, business continuity, observability, and resiliency Secure Google Cloud solutions and ensure compliance Understand operational best practices and learn how to architect a monitoring solution Gain insights into modern application design with Google Cloud Leverage big data, machine learning, and AI with Google Cloud Who this book is for This book is for cloud architects who are responsible for designing and managing cloud solutions...
    Note: Online resource; Title from title page (viewed April 9, 2021) , Mode of access: World Wide Web.
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    LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838824952
    Language: English
    Pages: 1 online resource (370 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how you can build the next big programming language, compiler, or source code analyzer using LLVM and Clang Key Features Explore Clang, LLVM's middle-end and backend, in a pragmatic way Develop your LLVM skillset and get to grips with a variety of common use cases Engage with real-world LLVM development through various coding examples Book Description Every programmer or engineer, at some point in their career, works with compilers to optimize their applications. Compilers convert a high-level programming language into low-level machine-executable code. LLVM provides the infrastructure, reusable libraries, and tools needed for developers to build their own compilers. With LLVM's extensive set of tooling, you can effectively generate code for different backends as well as optimize them. In this book, you'll explore the LLVM compiler infrastructure and understand how to use it to solve different problems. You'll start by looking at the structure and design philosophy of important components of LLVM and gradually move on to using Clang libraries to build tools that help you analyze high-level source code. As you advance, the book will show you how to process LLVM IR – a powerful way to transform and optimize the source program for various purposes. Equipped with this knowledge, you'll be able to leverage LLVM and Clang to create a wide range of useful programming language tools, including compilers, interpreters, IDEs, and source code analyzers. By the end of this LLVM book, you'll have developed the skills to create powerful tools using the LLVM framework to overcome different real-world challenges. What you will learn Find out how LLVM's build system works and how to reduce the building resource Get to grips with running custom testing with LLVM's LIT framework Build different types of plugins and extensions for Clang Customize Clang's toolchain and compiler flags Write LLVM passes for the new PassManager Discover how to inspect and modify LLVM IR Understand how to use LLVM's profile-guided optimizations (PGO) framework Create custom compiler sanitizers Who this book is for This book is for software engineers of all experience levels who work with LLVM. If you are an academic researcher, this book will help you learn useful LLVM skills in a short time and enable you to build your prototypes and projects quickly. Programming language enthusiasts will also find this book useful for building a new programming language with the help of LLVM.
    Note: Online resource; Title from title page (viewed April 22, 2021) , Mode of access: World Wide Web.
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    Quantum Computing with Silq Programming (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800569669
    Language: English
    Pages: 1 online resource (310 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next level Key Features Harness the potential of quantum computers more effectively using Silq Learn how to solve core problems that you may face while writing quantum programs Explore useful quantum applications such as cryptography and quantum machine learning Book Description Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You'll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you'll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you'll discover how to optimize the programming of quantum computers with the simple Silq. By the end of this Silq book, you'll have mastered the features of Silq and be able to build efficient quantum applications independently. What you will learn Identify the challenges that researchers face in quantum programming Understand quantum computing concepts and learn how to make quantum circuits Explore Silq programming constructs and use them to create quantum programs Use Silq to code quantum algorithms such as Grover's and Simon's Discover the practicalities of quantum error correction with Silq Explore useful applications such as quantum machine learning in a practical way Who this book is for This Silq quantum computing book is for students, researchers, and scientists looking to learn quantum computing techniques and software development. Quantum computing enthusiasts who want to explore this futuristic technology will also find this book useful. Beginner-level knowledge of any programming language a...
    Note: Online resource; Title from title page (viewed April 30, 2021) , Mode of access: World Wide Web.
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    Learn Bosque Programming (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839211973
    Language: English
    Pages: 1 online resource (336 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover the benefits of regularized programming by implementing Bosque to build a variety of reliable apps Key Features Get up and running with the Bosque programming language and use it to build better software Streamline your app development and improve productivity using Bosque programming Eliminate sources of complexity such as loops, recursion, and invariants to develop quality products Book Description Bosque is a new high-level programming language inspired by the impact of structured programming in the 1970s. It adopts the TypeScript syntax and ML semantics and is designed for writing code that is easy to reason about for humans and machines. With this book, you'll understand how Bosque supports high productivity and cloud-first development by removing sources of accidental complexity and introducing novel features. This short book covers all the language features that you need to know to work with Bosque programming. You'll learn about basic data types, variables, functions, operators, statements, and expressions in Bosque and become familiar with advanced features such as typed strings, bulk algebraic data operations, namespace declarations, and concept and entity declarations. This Bosque book provides a complete language reference for learning to program with Bosque and understanding the regularized programming paradigm. You'll also explore real-world examples that will help you to reinforce the knowledge you've acquired. Additionally, you'll discover more advanced topics such as the Bosque project structure and contributing to the project. By the end of this book, you'll have learned how to configure the Bosque environment and build better and reliable software with this exciting new open-source language. What you will learn Find out what the Bosque project is Identify accidental complexity in code and how to overcome it with Bosque Understand the principles of the regularized programming paradigm Install and configure the Bosque environment Get hands-on experience using the Bosque language and its key features Recognize the advantages of explicit code intermediate representation design Who this book is for This book is for experienced developers and early adopters who are interested in learning a new, mindset-changing programming language. You'll also find this book useful if you know TypeScript or JavaScript programming and want to understand the advantages of Bosque compared to other programming languages. Experience with any ...
    Note: Online resource; Title from title page (viewed April 30, 2021) , Mode of access: World Wide Web.
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    Hands-On Financial Trading with Python (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838982881
    Language: English
    Pages: 1 online resource (360 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover how to build and backtest algorithmic trading strategies with Zipline Key Features Get to grips with market data and stock analysis and visualize data to gain quality insights Find out how to systematically approach quantitative research and strategy generation/backtesting in algorithmic trading Learn how to navigate the different features in Python's data analysis libraries Book Description Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization. What you will learn Discover how quantitative analysis works by covering financial statistics and ARIMA Use core Python libraries to perform quantitative research and strategy development using real datasets Understand how to access financial and economic data in Python Implement effective data visualization with Matplotlib Apply scientific computing and data visualization with popular Python libraries Build and deploy backtesting algorithmic trading strategies Who this book is for This book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python's core libraries. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. Beginner-level working knowledge of Python programming and statistics will be helpful.
    Note: Online resource; Title from title page (viewed April 29, 2021) , Mode of access: World Wide Web.
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    The macOS User Administration Guide (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838643652
    Language: English
    Pages: 1 online resource (804 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore macOS tools and architecture for executing support tasks and system administration, and prepare for the Apple Certified Support Professional (ACSP) certification exam Key Features Delve into macOS Big Sur, from installation to managing apps and optimizing your environment Become an Apple Certified Support Professional (ACSP) with this comprehensive macOS support guide The book is not intended to be a user guide, it covers concepts pertinent for a user acting as an administrator Book Description Apple is pushing the capabilities of its technologies to help users achieve high performance, including improvements in its OS running across all Mac systems, macOS, and new technologies such as M1 Silicon chips. This book walks you through macOS from a system administration and support point of view, exploring its latest features. The book starts by explaining macOS architecture, installation, and startup processes to enable you to get started with the OS. You'll learn how to manage users and discover techniques for user security and privacy. Moving on, you'll get to grips with the macOS file system and learn to manage disks, volumes, and partitions for effective file management. Most of the examples covered in this book are from an administrator's perspective; however, when relevant, a standard user's perspective is also presented. You'll find illustrations for Mac systems running macOS 11 (Big Sur), and when necessary, for macOS 10.15 (macOS Catalina). Finally, you'll explore advanced topics such as networking and using command-line tools for administration tasks. By the end of this macOS book, you'll be well-versed with macOS features, administration tasks, and best practices. You'll also be able to apply the concepts to increase your chances of success in obtaining Apple certifications such as Apple Certified Support Professional (ACSP). What you will learn Understand the fundamentals of the macOS system and architecture Configure key services and perform essential troubleshooting in your Mac system Install, update, and configure your local macOS system and identify the stages of the startup process Create and manage a local user account and set up your customized macOS environment Manage your file systems, storage, and permissions Explore practices and techniques to work with apps, networks, and security for your Mac system Delve into administration tasks such as managing service resources and peripherals Who this book is for If you are a ...
    Note: Online resource; Title from title page (viewed April 26, 2021) , Mode of access: World Wide Web.
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    Working with Microsoft Forms and Customer Voice (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801070171
    Language: English
    Pages: 1 online resource (336 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Work with business scenarios and discover best practices to get the most out of Microsoft Forms and Microsoft Dynamics 365 Customer Voice Key Features Explore step-by-step instructions to integrate surveys with Microsoft 365 apps Automate surveys and follow-up actions from survey results using Microsoft Forms Create custom report dashboards and explore advanced analytics for managing insights Book Description Microsoft Forms and Dynamics 365 Customer Voice enable organizations to collect and analyze feedback from employees and customers, helping developers to integrate their feedback and business users to collect feedback that will guide them to develop customer-centric solutions. This book takes a hands-on approach to leveraging Microsoft Forms and Dynamics 365 Customer Voice capabilities for common feedback scenarios and covers best practices and tips and tricks to have your solution up and running in no time. You'll start by exploring common scenarios where organizations collect feedback from employees and customers and implement end-to-end solutions with Forms. You'll then discover how to create surveys and get to grips with different configuration options commonly used for each scenario. Throughout the book, you'll also find sample questions and step-by-step instructions for integrating the survey with related technology such as Microsoft Teams, Power Automate, and Power BI for an end-to-end scenario. By the end of this Microsoft book, you'll be able to build and deploy your complete solution using Microsoft Forms and Dynamics 365 Customer Voice, allowing you to listen to customers or employees, interpret their feedback, take timely follow-up action, and monitor results. What you will learn Get up and running with Microsoft Forms and Dynamics 365 Customer Voice services Explore common feedback scenarios and survey best practices Understand how to administer Microsoft Forms and Dynamics 365 Customer Voice Use Microsoft Forms or Dynamics 365 Customer Voice to monitor your survey results Set up the Microsoft Forms app for Teams for conducting live polls Automate feedback collection and follow-up actions Who this book is for This book is for business users who want to increase customer and employee engagement and collect data for measuring user satisfaction and driving product and process improvements. Beginner-level knowledge of Microsoft products such as Office 365 (including Teams, Outlook, and Excel) is expected. The book also includes ad...
    Note: Online resource; Title from title page (viewed June 14, 2021) , Mode of access: World Wide Web.
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    Interactive Dashboards and Data Apps with Plotly and Dash (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800568914
    Language: English
    Pages: 1 online resource (362 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to build web-based and mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements Book Description With Plotly's Dash framework, it is now easier than ever for Python programmers to develop complete data apps and interactive dashboards. Dash apps can be used by a non-technical audience, and this will make data analysis accessible to a much wider group of people. This book will help you to explore the functionalities of Dash for visualizing data in different ways and getting the most out of it. The book starts with an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you'll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application. What you will learn Find out how to run a fully interactive and easy-to-use app Convert your charts to various formats including images and HTML files Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes Create different chart types, such as bar charts, scatter plots, histograms, maps, and more Expand your app by creating dynamic pages that generate content based on URLs Implement new callbacks to manage charts based on URLs and vice versa Who this book is for This Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards. Basic to intermediate-level knowledge of the Python programming language will help you to grasp the concepts covered in this book m...
    Note: Online resource; Title from title page (viewed May 21, 2021) , Mode of access: World Wide Web.
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    Graph Machine Learning (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800204492
    Language: English
    Pages: 1 online resource (338 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features Implement machine learning techniques and algorithms in graph data Identify the relationship between nodes in order to make better business decisions Apply graph-based machine learning methods to solve real-life problems Book Description Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. You will start with a brief introduction to graph theory and graph machine learning, understanding their potential. As you proceed, you will become well versed with the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll then build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. Moving ahead, you will cover real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. Finally, you will learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, before progressing to explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications. What you will learn Write Python scripts to extract features from graphs Distinguish between the main graph representation learning techniques Become well-versed with extracting data from social networks, financial transaction systems, and more Implement the main unsupervised and supervised graph embedding techniques Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more Deploy and scale out your application seamlessly Who this book is for This book is for data analysts, graph developers, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance. The book will also be useful for data scientis...
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    Threat Hunting with Elastic Stack (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801073783
    Language: English
    Pages: 1 online resource (392 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get hands-on with advanced threat analysis techniques by implementing Elastic Stack security features with the help of practical examples Key Features Get started with Elastic Security configuration and features Understand how to use Elastic Stack features to provide optimal protection against threats Discover tips, tricks, and best practices to enhance the security of your environment Book Description Elastic Security is an open solution that equips professionals with the tools to prevent, detect, and respond to threats. Threat Hunting with Elastic Stack will show you how to make the best use of Elastic Security to provide optimal protection against cyber threats. With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network. You'll take a hands-on approach to learning the implementation and methodologies that will have you up and running in no time. Starting with the foundational parts of the Elastic Stack, you'll explore analytical models and how they support security response and finally leverage Elastic technology to perform defensive cyber operations. You'll then cover threat intelligence analytical models, threat hunting concepts and methodologies, and how to leverage them in cyber operations. Further, you'll apply the knowledge you've gained to build and configure your own Elastic Stack, upload data, and explore that data directly as well as by using the built-in tools in the Kibana app to hunt for nefarious activities. By the end of this book, you'll be able to build an Elastic Stack for self-training or to monitor your own network and/or assets and use Kibana to monitor and hunt for adversaries within your network. What you will learn Explore cyber threat intelligence analytical models and hunting methodologies Build and configure Elastic Stack for cyber threat hunting Leverage the Elastic endpoint and Beats for data collection Perform security data analysis using the Kibana Discover, Visualize, and Dashboard apps Execute hunting and response operations using the Kibana Security app Use Elastic Common Schema to ensure data uniformity across organizations Who this book is for Security analysts, cybersecurity enthusiasts, information systems security staff, or anyone who works with the Elastic Stack for security monitoring, incident response, intelligence analysis, or threat hunting will find this book useful. Basic working k...
    Note: Online resource; Title from title page (viewed July 23, 2021) , Mode of access: World Wide Web.
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    Scientific Computing with Python - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838822323
    Language: English
    Pages: 1 online resource (392 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage this example-packed, comprehensive guide for all your Python computational needs Key Features Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing. Book Description Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. What you will learn Understand the building blocks of computational mathematics, linear algebra, and related Python objects Use Matplotlib to create high-quality figures and graphics to draw and visualize results Apply object-oriented programming (OOP) to scientific computing in Python Discover how to use pandas to enter the world of data processing Handle exceptions for writing reliable and usable code Cover manual and automatic aspects of testing for scientific programming Get to grips with parallel computing to increase computation speed Who this book is for This book is for students with a mathematical background, university teachers designing modern courses in progra...
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    Migrating Linux to Microsoft Azure (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801071727
    Language: English
    Pages: 1 online resource (210 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn to move on-premises virtual machines running on Linux servers to Azure with expert guidance, best practices, and optimized cost Key Features Work with real-life migrations to understand the do's and don'ts of the process Deploy a new Linux virtual machine and carry out automation and configuration management Learn debugging your system and collecting error logs with hands-on examples Book Description With cloud adoption at the core of digital transformation for organizations, there has been a lot of demand to deploy and host enterprise business workloads in the cloud. Migrating Linux to Microsoft Azure offers a series of actionable insights into deploying Linux workload to Azure. You will begin by learning about the history of IT, operating systems, Unix, Linux, and Windows, before moving on to look at the cloud and what things were like before virtualization. This will enable those not very familiar with Linux to learn the terms required to grasp the upcoming chapters. Furthermore, you will explore popular Linux distributions including RHEL 7, RHEL 8, SLES, Ubuntu pro, CentOS 7, and more. As you progress, you will dive into the technical details of Linux workloads such as LAMP, Java, and SAP. You will learn how to assess your current environment and plan migrating to Azure through cloud governance and operations planning. Finally, you will go through the execution of a real migration project and learn how to analyze, debug, and recover some common problems Linux on Azure users have encountered. By the end of this Linux book, you will be proficient in performing an effective migration of Linux workloads to Azure for your organization. What you will learn Explore the terminology and technology of various Linux distributions Understand the technical support co-operation between Microsoft and commercial Linux vendors Assess current workloads by using Azure Migrate Plan cloud governance and operations Execute a real-world migration project Manage project, staffing, and customer engagement Who this book is for This book is intended to benefit cloud architects, cloud solution providers, and any stakeholders dealing with migration of Linux workload to Azure. Basic familiarity with Microsoft Azure would be a plus.
    Note: Online resource; Title from title page (viewed July 28, 2021) , Mode of access: World Wide Web.
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    Data Science Projects with Python - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800564480
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoost Key Features Think critically about data and use it to form and test a hypothesis Choose an appropriate machine learning model and train it on your data Communicate data-driven insights with confidence and clarity Book Description If data is the new oil, then machine learning is the drill. As companies gain access to ever-increasing quantities of raw data, the ability to deliver state-of-the-art predictive models that support business decision-making becomes more and more valuable. In this book, you'll work on an end-to-end project based around a realistic data set and split up into bite-sized practical exercises. This creates a case-study approach that simulates the working conditions you'll experience in real-world data science projects. You'll learn how to use key Python packages, including pandas, Matplotlib, and scikit-learn, and master the process of data exploration and data processing, before moving on to fitting, evaluating, and tuning algorithms such as regularized logistic regression and random forest. Now in its second edition, this book will take you through the end-to-end process of exploring data and delivering machine learning models. Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world. By the end of this data science book, you'll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data. What you will learn Load, explore, and process data using the pandas Python package Use Matplotlib to create compelling data visualizations Implement predictive machine learning models with scikit-learn Use lasso and ridge regression to reduce model overfitting Evaluate random forest and logistic regression model performance Deliver business insights by presenting clear, convincing conclusions Who this book is for Data Science Projects with Python – Second Edition is for anyone who wants to get started with data science and machine learning. If you're keen to advance your career by using data analysis and predictive modeling to generate business insights, then this book is the perfect place to begin. To quickly grasp the concepts covered, it is recommended that you have basic experience of programming with Python or another simila...
    Note: Online resource; Title from title page (viewed July 29, 2021) , Mode of access: World Wide Web.
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    Antivirus Bypass Techniques (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801079747
    Language: English
    Pages: 1 online resource (242 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Develop more secure and effective antivirus solutions by leveraging antivirus bypass techniques Key Features Gain a clear understanding of the security landscape and research approaches to bypass antivirus software Become well-versed with practical techniques to bypass antivirus solutions Discover best practices to develop robust antivirus solutions Book Description Antivirus software is built to detect, prevent, and remove malware from systems, but this does not guarantee the security of your antivirus solution as certain changes can trick the antivirus and pose a risk for users. This book will help you to gain a basic understanding of antivirus software and take you through a series of antivirus bypass techniques that will enable you to bypass antivirus solutions. The book starts by introducing you to the cybersecurity landscape, focusing on cyber threats, malware, and more. You will learn how to collect leads to research antivirus and explore the two common bypass approaches used by the authors. Once you've covered the essentials of antivirus research and bypassing, you'll get hands-on with bypassing antivirus software using obfuscation, encryption, packing, PowerShell, and more. Toward the end, the book covers security improvement recommendations, useful for both antivirus vendors as well as for developers to help strengthen the security and malware detection capabilities of antivirus software. By the end of this security book, you'll have a better understanding of antivirus software and be able to confidently bypass antivirus software. What you will learn Explore the security landscape and get to grips with the fundamentals of antivirus software Discover how to gather AV bypass research leads using malware analysis tools Understand the two commonly used antivirus bypass approaches Find out how to bypass static and dynamic antivirus engines Understand and implement bypass techniques in real-world scenarios Leverage best practices and recommendations for implementing antivirus solutions Who this book is for This book is for security researchers, malware analysts, reverse engineers, pentesters, antivirus vendors looking to strengthen their detection capabilities, antivirus users and companies that want to test and evaluate their antivirus software, organizations that want to test and evaluate antivirus software before purchase or acquisition, and tech-savvy individuals who want to learn new topics.
    Note: Online resource; Title from title page (viewed July 16, 2021) , Mode of access: World Wide Web.
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    Mastering Go - Third Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801079310
    Language: English
    Pages: 1 online resource (682 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Master key features of Go, including advanced concepts like concurrency and working with JSON, to create and optimize real-world services, network servers, and clients Key Features Third edition of the bestselling guide to advanced Go programming, expanded to cover RESTful servers, the WebSocket protocol, and Go generics Use real-world exercises to build high-performance network servers and powerful command line utilities Packed with practical examples and utilities to apply to your own development work and administrative tasks Clearly explains Go nuances and features to simplify Go development Book Description Go is the language of the future for high-performance systems due to its simplicity and clear principles. Mastering Go shows you how to put Go to work on real production systems. This new edition has been updated to include topics like creating RESTful servers and clients, understanding Go generics, and developing gRPC servers and clients. Mastering Go, Third Edition explores the capabilities of Go in practice. You will become confident with advanced concepts, including concurrency and the operation of the Go Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases. You will also improve your understanding of Go internals to optimize Go code and use data types and data structures in new and unexpected ways. This Go programming book also covers the nuances and idioms of Go with exercises and resources to fully embed your newly acquired knowledge. Become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects. What you will learn Use Go in production Write reliable, high-performance concurrent code Manipulate data structures including slices, arrays, maps, and pointers Develop reusable packages with reflection and interfaces Become familiar with generics for effective Go programming Create concurrent RESTful servers, and build gRPC clients and servers Define Go structures for working with JSON data Who this book is for This book is for Go programmers with previous coding experience, who are familiar with the basics of the language and want to become expert Go practitioners.
    Note: Online resource; Title from title page (viewed August 31, 2021) , Mode of access: World Wide Web.
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    Von Data-driven zu People-based Marketing -- Erfolgreiche Digital Marketing Strategien in einer Privacy First Ära (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747504123
    Language: English , German
    Pages: 1 online resource (272 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Erfolgreiche Digital Marketing Strategien in einer Privacy First Ära Zeitgemäßes und personenzentriertes Marketing ohne Cookies: von Data-driven zu People-based Marketing First-Party Daten und Customer Data Platforms: von der Sammlung von Nutzerdaten über die kanalübergreifende Identifikation der Nutzer bis hin zur Erfolgsmessung Customer Journeys mit Always-on Marketing-Programmen orchestrieren: die richtige Botschaft zum richtigen Zeitpunkt an die richtige Person People-based Marketing ist als Evolution von Data-driven Marketing die nächste Stufe im digitalen Marketing. Es löst kanalspezifische Kampagnen, Daten in Silos und nicht konsistente Kundenerlebnisse ab, fokussiert sich stattdessen komplett auf den Nutzer und schafft die Grundlage für eine vertrauensvolle Beziehung in einer Privacy First Ära. Anhand eines übergreifenden Nutzerprofils und geeigneter Technologie lässt sich damit die richtige Botschaft zum richtigen Zeitpunkt an die richtige Person liefern. In diesem Buch zeigt Marco Hassler praxisnah, wie People-based Marketing Schritt für Schritt umgesetzt werden kann: die Sammlung von Nutzerdaten mit der Identifika-tion des Nutzers über alle Kanäle hinweg die Einholung von Zustimmungen in einem herausfordernden datenschutzrechtlichen Umfeld die Marketing-Technologie und -Architektur, die dafür notwendig ist die Gestaltung gesamter Marketing-Programme auf Basis einer Inbound- und Always-on-Philosophie Den Abschluss bildet die Erfolgsmessung von Maßnahmen für ein gelungenes People-based Marketing. Aus dem Inhalt: Teil I: Customer Centricity Personas und Customer Journeys Macro-Journeys und Micro-Moments Motivationsräume und Touchpoints Teil II: Daten Datensammlung und -auswertung Geräte- und kanalübergreifende Nutzerprofile Cookies, Fingerprinting, IDFA First-Party Datenstrategie Teil III: Technologie Customer Data Platform, Identity Graph, Consent Management DMP, DSP, SSP Teil IV: Zusammenführung und Anwendung Inbound, Always-On, Micro-Moments, Happy Flows Nurtures und Marketing Automation Scoring und Künstliche Intelligenz Journey Analytics
    Note: Online resource; Title from title page (viewed August 23, 2021) , Mode of access: World Wide Web.
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    Getting Started with Streamlit for Data Science (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565500
    Language: English
    Pages: 1 online resource (282 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features Learn how to showcase machine learning models in a Streamlit application effectively and efficiently Become an expert Streamlit creator by getting hands-on with complex application creation Discover how Streamlit enables you to create and deploy apps effortlessly Book Description Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time. You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you'll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps. By the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python. What you will learn Set up your first development environment and create a basic Streamlit app from scratch Explore methods for uploading, downloading, and manipulating data in Streamlit apps Create dynamic visualizations in Streamlit using built-in and imported Python libraries Discover strategies for creating and deploying machine learning models in Streamlit Use Streamlit sharing for one-click deployment Beautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebar Implement best practices for prototyping your data science work with Streamlit Who this book is for This book is for data scientists and machine learning enthusiasts who want to create web apps using Streamlit. Whether you're a junior data scientist looking to deploy your first machine learning project in Python to improve your resume or a senior data scientist who wants to use Streamlit to make convincing and dynamic data analyses, this book will help you get there! Prior knowledge of Python programming will assist with understanding the concepts covered.
    Note: Online resource; Title from title page (viewed August 20, 2021) , Mode of access: World Wide Web.
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    Exploring GPT-3 (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563193
    Language: English
    Pages: 1 online resource (296 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python Key Features Understand the power of potential GPT-3 language models and the risks involved Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live application Book Description Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API. If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You'll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production. By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks. What you will learn Understand what GPT-3 is and how it can be used for various NLP tasks Get a high-level introduction to GPT-3 and the OpenAI API Implement JavaScript and Python code examples that call the OpenAI API Structure GPT-3 prompts and options to get the best possible results Select the right GPT-3 engine or model to optimize for speed and cost-efficiency Find out which use cases would not be suitable for GPT-3 Create a GPT-3-powered knowledge base application that follows OpenAI guidelines Who this book is for Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic ...
    Note: Online resource; Title from title page (viewed August 27, 2021) , Mode of access: World Wide Web.
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    Solution Architecture with .NET (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801075626
    Language: English
    Pages: 1 online resource (238 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn about the responsibilities of a .NET solution architect and explore solution architecture principles, DevOps solutions, and design techniques and standards with hands-on examples of design patterns Key Features Find out what are the essential personality traits and responsibilities of a solution architect Become well-versed with architecture principles and modern design patterns with hands-on examples Design modern web solutions and make the most of Azure DevOps to automate your development life cycle Book Description Understanding solution architecture is a must to build and integrate robust systems to meet your client's needs. This makes it crucial for a professional .NET software engineer to learn the key skills of a .NET solution architect to create a unique digital journey and build solutions for a wide range of industries, from strategy and design to implementation. With this handbook, developers working with the .NET technology will be able to put their knowledge to work. The book takes a hands-on approach to help you become an effective solution architect. You'll start by learning the principles of the software development life cycle (SDLC), the roles and responsibilities of a .NET solution architect, and what makes a great .NET solution architect. As you make progress through the chapters, you'll understand the principles of solution architecture and how to design a solution, and explore designing layers and microservices. You'll complete your learning journey by uncovering modern design patterns and techniques for designing and building digital solutions. By the end of this book, you'll have learned how to architect your modern web solutions with ASP.NET Core and Microsoft Azure and be ready to automate your development life cycle with Azure DevOps. What you will learn Understand the role and core responsibilities of a .NET solution architect Study popular UML (Unified Modeling Language) diagrams for solution architecture Work with modern design patterns with the help of hands-on examples Become familiar with microservices and designing layers Discover how to design modern web solutions Automate your development life cycle with Azure DevOps Who this book is for This book is for intermediate and advanced .NET developers and software engineers who want to advance their careers and expand their knowledge of solution architecture and design principles. Beginner or intermediate-level solution architects looking for tips and tricks t...
    Note: Online resource; Title from title page (viewed August 27, 2021) , Mode of access: World Wide Web.
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    Automate It with Zapier (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208971
    Language: English
    Pages: 1 online resource (618 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build easy and accessible solutions for automating mundane processes in marketing, sales, operations, and finance to enable teams to focus on core tasks Key Features Learn Zapier and find solutions to specific problems with this comprehensive yet concise guide Explore various scenarios describing specific business problems and how they can be solved with Zapier Discover expert tips and practical examples to harness the full potential of Zapier Book Description Zapier is an emerging no-code workflow automation technology that enables organizations to connect their cloud-based and web applications and automate data transfer between them. Zapier's built-in features and flexibility allow users to integrate thousands of business applications and create simple to complex automation to reduce time spent on repetitive tasks, thereby increasing productivity. This book is a must-have for business owners, their employees, and independent freelancers and contractors looking to use Zapier for business process automation. The book takes a hands-on approach to implementation and associated problem-solving methodologies that will have you up-and-running and productive in no time while leveling up your automation skills. You'll discover how to plan your automation building for optimal results, what are the native features available in Zapier, and the applications that connect with it, as well as how to optimally configure your workflows to automate your processes in as few steps as possible. Finally, you'll find out how to create advanced workflow automation from scratch and learn how to troubleshoot issues. By the end of this Zapier book, you'll be able to build your own advanced workflow automation using Zapier, addressing the key pain points encountered in businesses with manual and repetitive tasks. What you will learn Think creatively to plan your business workflows to overcome specific business problems Get to grips with the native features and built-in applications available in Zapier Explore different types of third-party business applications that integrate with Zapier Configure your workflows optimally to automate business processes and minimize task usage Use Zapier's library of pre-built workflows and create advanced workflows from scratch Discover the extensive functionality and practical uses of Zapier's built-in apps Who this book is for This book is for solutions architects, process consultants, business analysts, virtual assistants, digital ma...
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Modernizing Enterprise CMS Using Pimcore (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781801075404
    Language: English
    Pages: 1 online resource (412 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A practical guide to developing, administering, and scaling content management solutions in your organization for supporting digital transformation using Pimcore Key Features Kick-start your CMS career by preparing for Pimcore developer certifications Create custom websites with a rich digital experience for your business users with the help of step-by-step examples Get to grips with Pimcore's enterprise features for product management and data management Book Description Used by over eighty thousand companies worldwide, Pimcore is the leading open source enterprise-level content management system (CMS) solution. It is an impressive alternative to conventional CMSes and is ideal for creating e-commerce and complex enterprise websites. This book helps developers working with standard CMSes such as WordPress and Drupal to use their knowledge of CMSes to learn Pimcore CMS in a practical way. You'll start by learning what Pimcore is and explore its various services such as PIM, MDM, and DAM. The book then shows you various techniques for developing custom websites in Pimcore based on the scale of your organization. You'll learn how to use Pimcore to improve the digital transformation of a company by implementing enterprise Pimcore features. As you advance, you'll discover Pimcore's capabilities and features that make it a faster and more secure alternative to traditional CMSes. As well as demonstrating practical use cases, Modernizing Enterprise CMS Using Pimcore can help you understand the benefits of using Pimcore as a CMS solution, sharing best practices and proven techniques for designing professional Pimcore sites. By the end of this book, you'll be a trained Pimcore developer, able to create complex websites, and be well-versed in Pimcore's enterprise features such as MDM, PIM, and DAM. What you will learn Create, edit, and manage Pimcore documents for your web pages Manage web assets in Pimcore using the digital asset management (DAM) feature Discover how to create layouts, templates, and custom widgets for your web pages Administer third-party add-ons for your Pimcore site using the admin UI Discover practices to use Pimcore as a product information management (PIM) system Explore Pimcore's master data management (MDM) for enterprise CMS development Build reusable website components and save time using effective tips and tricks Who this book is for This book is for web developers and CMS professionals looking for an alternative to WordPres...
    Note: Online resource; Title from title page (viewed August 13, 2021) , Mode of access: World Wide Web.
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    Android Studio 4.2 Development Essentials - Kotlin Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803231549
    Language: English
    Pages: 1 online resource (804 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A hands-on guide to developing Android applications using Android Studio 4.2 and Kotlin Key Features Design complex and responsive user interface layouts with the Android Studio 4.2 IDE Build view model-based apps using the Jetpack architecture and use the latest material design components to build modern user interface designs Integrate with SQLite databases and the Android Room Persistence Library Book Description Android Studio is an Integrated Development Environment that is based on the JetBrains IntelliJ IDEA. It provides developers with a unique platform to design and develop Android apps using various developer tools. The new Android Studio 4.2 has an upgraded IntelliJ platform and a variety of new features designed to improve the productivity of Android app developers. Fully updated for Android Studio 4.2, the objective of this book is to help you master the skills necessary to develop Android applications using Kotlin as the programming language. This book begins by outlining the steps necessary to set up an Android development and testing environment and introduces programming in Kotlin, addressing data types, flow control, functions, lambdas, and object-oriented programming. It includes an overview of Android Studio, covering areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to Android architecture is followed by an in-depth explanation of the design of Android applications and user interfaces using the Android Studio environment. Early chapters detail Android Architecture components like view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding. Advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. You will also explore printing, transitions, cloud-based file storage, and foldable device support. Detailed descriptions of material design concepts are provided, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars. Some key features of Android Studio 4.2 and Android discussed in-depth include the Layout Editor, the ConstraintLayout and ConstraintSet classes, MotionLayout Editor, view binding, constraint chains, barriers, and direct reply notifications. Later chapters cover advanced features of Android Studio such as App links, Dynamic Delivery, the Android Studio Pr...
    Note: Online resource; Title from title page (viewed August 10, 2021) , Mode of access: World Wide Web.
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    Android Studio 4.2 Development Essentials - Java Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803238814
    Language: English
    Pages: 1 online resource (782 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Developing Android applications using Android Studio 4.2, Java, and Android Jetpack Key Features Design complex and responsive user interface layouts with the Android Studio 4.2 IDE Build view model-based apps using the Jetpack architecture and use the latest Material Design components to build modern user interface designs Integrate with SQLite databases and the Android Room Persistence Library Book Description Android Studio is an Integrated Development Environment based on the JetBrains IntelliJ IDEA. It provides developers with a unique platform to design and develop Android apps using various developer tools. The new Android Studio 4.2 has an upgraded IntelliJ platform and a variety of new features designed to improve the productivity of Android app developers. Fully updated for Android Studio 4.2, the objective of this book is to help you master the skills necessary to develop Android applications using Java as the programming language. This book begins by outlining the steps necessary to set up an Android development and testing environment and introducing programming in Java, describing data types, flow control, functions, lambdas, and object-oriented programming. It includes an overview of Android Studio, covering areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to Android architecture is followed by an in-depth explanation of the design of Android applications and user interfaces using the Android Studio environment. Early chapters detail Android Architecture components like view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding. Advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. You will also explore printing, transitions, cloud-based file storage, and foldable device support. Detailed descriptions of the concepts of material design are provided, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars. Some key features of Android Studio 4.2 and Android discussed in-depth include the Layout Editor, the ConstraintLayout and ConstraintSet classes, MotionLayout Editor, view binding, constraint chains, barriers, and direct reply notifications. Later chapters cover advanced features of Android Studio such as App Links, Dynamic Delivery, the Android Studio Profiler, ...
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    Dancing with Python (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801077859
    Language: English
    Pages: 1 online resource (744 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Develop skills in Python by implementing exciting algorithms, including mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits Key Features Learn Python basics to write elegant and efficient code Create quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulators Delve into Python's advanced features, including machine learning, analyzing data, and searching Book Description Coding is the art and engineering of creating software, and Python has been one of the core coding languages for many years. This introductory Python book helps you learn classical and quantum computing in a unified and practical way. It will help you work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you how to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends classical techniques using the Grover search algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in classical coding and programming using the latest and most powerful quantum computers. What you will learn Create Python code using numbers, strings, collections, classes, objects, functions, conditionals, loops, and operators Write succinct code the Pythonic way using magic methods, iterators, and generators Explore different quantum gates and use them to build quantum circuits Analyze data, build basic machine learning models, and plot the results Search for information using traditional methods and the quantum Grover search algorithm Optimize and test your code to run efficiently Who this book is for The book is for Python and coding beginners. Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author's Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.
    Note: Online resource; Title from title page (viewed August 31, 2021) , Mode of access: World Wide Web.
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    CompTIA Security+ -- IT-Sicherheit verständlich erklärt -- Die umfassende Prüfungsvorbereitung zur CompTIA-Prüfung SYO-601, 4. Auflage (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747502563
    Language: English , German
    Pages: 1 online resource (664 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: IT-Sicherheit verständlich erklärt Vorbereitung auf die Prüfung SYO-601 Fundierter und umfassender Überblick zum Thema IT-Sicherheit Inklusive aller Neuerungen zur Rechtslage bzgl. Datenschutz und Datensicherheit Erläuterungen zu allen Themen der CompTIA-Prüfung SYO-601 Mit Vorbereitungsfragen zu jedem Fachgebiet Bedrohungen von Unternehmen durch Angriffe und Sicherheitslücken in den Systemen nehmen laufend zu. Informationssicherheit ist daher ein zentrales Thema in jeder IT-Umgebung. Unternehmen müssen sich gründlich mit der Thematik auseinandersetzen und sich kontinuierlich weiterbilden. Die Zertifizierung CompTIA Security+ ist ein wertvoller Nachweis für praxisnahe und umfassende Kenntnisse zu Themen der Unternehmenssicherheit und die Prüfung deckt die wichtigen Fragestellungen ab. In der aktuellen Fassung der Prüfung (SYO-601) sind das: Bedrohungen, Attacken und Schwachstellen Architektur und Design aus dem Blickwinkel der Informationssicherheit Implementation von Sicherheitskonzepten und -maßnahmen Sicherer ICT-Betrieb und Incident Response Governance, Risikomanagement und Compliance Die Autoren behandeln umfassend die genannten Themenbereiche und vermitteln Ihnen mit diesem Buch das für die Zertifizierung notwendige Fachwissen. Im Zentrum steht dabei der Aufbau eines eigenen Verständnisses für die IT-Sicherheit. So erhalten Sie die notwendigen Grundlagen, um die Prüfung CompTIA Security+ erfolgreich zu bestehen. Aus dem Inhalt: Sicherheitsmanagement und Richtlinien Grundlagen der Kryptografie Unterschiedliche Zugriffsverfahren Authentifizierungsmethoden Aktuelle Rechtslage im Datenschutz Biometrische Erkennungssysteme Sicherheit durch Redundanz IT-Infrastruktur resilient gestalten Grundlagen der Systemhärtung Gefahren durch Malware Gezielte und neuartige Angriffsformen Social Engineering Phishing, Pharming und andere Bösartigkeiten Mailverkehr sichern Sicherheit für Protokolle Cloud Computing sicher gestalten Denial of Service, Pufferüberlauf, Race-Condition Cross-Site-Scripting, SQL-Injection, LDAP-Injection Spoofing, Man-in-the-Middle, Session-Hijacking Sichere Verbindungen durch VPN und Remote Access Sicherheitsimplikationen bei eingebetteten Systemen und IoT WLAN sicher konfigurieren System- und Netzwerküberwachung Analyseprogramme Wireshark, RRDTools, Nagios Unterschiedliche Firewallkonzepte Methoden der Datensicherung Disaster Recovery-Planung Pentesting und Forensics Metasploit Framework Sicherheitsüberprüfungen und Security Audits
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    CISSP (ISC)2 Certification Practice Exams and Tests (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800561373
    Language: English
    Pages: 1 online resource (396 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Pass the Certified Information Systems Security Professional Exam with our all-new set of practice exams designed to simulate the latest exam version Key Features Get ready to take the CISSP exam with the help of practice questions covering all concepts tested in the exam Discover and fill the gaps in your knowledge with detailed explanations of answers Take two full practice exams that simulate CISSP version May 2021 Book Description The CISSP exam is for security professionals who understand that poor security can put a company out of business. The exam covers eight important security domains - risk management, security architecture, data security, network security, identity management, auditing, security operations, and software development security. Designed to cover all the concepts tested in the CISSP exam, CISSP (ISC)2 Certification Practice Exams and Tests will assess your knowledge of information security and introduce you to the tools you need to master to pass the CISSP exam (version May 2021). With more than 100 questions for every CISSP domain, this book will test your understanding and fill the gaps in your knowledge with the help of descriptive answers and detailed explanations. You'll also find two complete practice exams that simulate the real CISSP exam, along with answers. By the end of this book, you'll be ready to take and pass the (ISC)2 CISSP exam and achieve the Certified Information Systems Security Professional certification putting you in the position to build a career as a security engineer, security manager, or chief information security officer (CISO) What you will learn Understand key principles of security, risk management, and asset security Become well-versed with topics focused on the security architecture and engineering domain Test your knowledge of IAM and communication using practice questions Study the concepts of security assessment, testing, and operations Find out which security controls are applied in software development security Find out how you can advance your career by acquiring this gold-standard certification Who this book is for This book is for existing and aspiring security professionals, security engineers, security managers, and security experts who want to validate their skills and enhance their careers by passing the CISSP 2021 exam. Prior experience working in at least two of the CISSP security domains will be beneficial.
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    Ghidra Software Reverse Engineering for Beginners (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800207974
    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Detect potentials bugs in your code or program and develop your own tools using the Ghidra reverse engineering framework developed by the NSA project Key Features Make the most of Ghidra on different platforms such as Linux, Windows, and macOS Leverage a variety of plug-ins and extensions to perform disassembly, assembly, decompilation, and scripting Discover how you can meet your cybersecurity needs by creating custom patches and tools Book Description Ghidra, an open source software reverse engineering (SRE) framework created by the NSA research directorate, enables users to analyze compiled code on any platform, whether Linux, Windows, or macOS. This book is a starting point for developers interested in leveraging Ghidra to create patches and extend tool capabilities to meet their cybersecurity needs. You'll begin by installing Ghidra and exploring its features, and gradually learn how to automate reverse engineering tasks using Ghidra plug-ins. You'll then see how to set up an environment to perform malware analysis using Ghidra and how to use it in the headless mode. As you progress, you'll use Ghidra scripting to automate the task of identifying vulnerabilities in executable binaries. The book also covers advanced topics such as developing Ghidra plug-ins, developing your own GUI, incorporating new process architectures if needed, and contributing to the Ghidra project. By the end of this Ghidra book, you'll have developed the skills you need to harness the power of Ghidra for analyzing and avoiding potential vulnerabilities in code and networks. What you will learn Get to grips with using Ghidra's features, plug-ins, and extensions Understand how you can contribute to Ghidra Focus on reverse engineering malware and perform binary auditing Automate reverse engineering tasks with Ghidra plug-ins Become well-versed with developing your own Ghidra extensions, scripts, and features Automate the task of looking for vulnerabilities in executable binaries using Ghidra scripting Find out how to use Ghidra in the headless mode Who this book is for This SRE book is for developers, software engineers, or any IT professional with some understanding of cybersecurity essentials. Prior knowledge of Java or Python, along with experience in programming or developing applications, is required before getting started with this book.
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    Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-Learn (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747502150
    Language: English , German
    Pages: 1 online resource (768 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Datenanalyse mit ausgereiften statistischen Modellen des Machine Learnings Anwendung der wichtigsten Algorithmen und Python-Bibliotheken wie NumPy, SciPy, Scikit-learn, Keras, TensorFlow 2, Pandas und Matplotlib Best Practices zur Optimierung Ihrer Machine-Learning-Algorithmen Mit diesem Buch erhalten Sie eine umfassende Einführung in die Grundlagen und den effektiven Einsatz von Machine-Learning- und Deep-Learning-Algorithmen und wenden diese anhand zahlreicher Beispiele praktisch an. Dafür setzen Sie ein breites Spektrum leistungsfähiger Python-Bibliotheken ein, insbesondere Keras, TensorFlow 2 und Scikit-learn. Auch die für die praktische Anwendung unverzichtbaren mathematischen Konzepte werden verständlich und anhand zahlreicher Diagramme anschaulich erläutert. Die dritte Auflage dieses Buchs wurde für TensorFlow 2 komplett aktualisiert und berücksichtigt die jüngsten Entwicklungen und Technologien, die für Machine Learning, Neuronale Netze und Deep Learning wichtig sind. Dazu zählen insbesondere die neuen Features der Keras-API, das Synthetisieren neuer Daten mit Generative Adversarial Networks (GANs) sowie die Entscheidungsfindung per Reinforcement Learning. Ein sicherer Umgang mit Python wird vorausgesetzt. Aus dem Inhalt: Trainieren von Lernalgorithmen und Implementierung in Python Gängige Klassifikationsalgorithmen wie Support Vector Machines (SVM), Entscheidungsbäume und Random Forest Natural Language Processing zur Klassifizierung von Filmbewertungen Clusteranalyse zum Auffinden verborgener Muster und Strukturen in Ihren Daten Deep-Learning-Verfahren für die Bilderkennung Datenkomprimierung durch Dimensionsreduktion Training Neuronaler Netze und GANs mit TensorFlow 2 Kombination verschiedener Modelle für das Ensemble Learning Einbettung von Machine-Learning-Modellen in Webanwendungen Stimmungsanalyse in Social Networks Modellierung sequenzieller Daten durch rekurrente Neuronale Netze Reinforcement Learning und Implementierung von Q-Learning-Algorithmen
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    Learn WinUI 3.0 (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208667
    Language: English
    Pages: 1 online resource (440 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A beginner's guide to building Windows applications with WinUI for UWP and desktop applications Key Features Create modern Windows 10 applications and gain access to UI controls that were previously limited to UWP applications Discover how to modernize your existing Win32 apps with a modern Windows 10 UI Learn to embed a single page application (SPA) in a WinUI application with a web framework like Blazor Book Description WinUI 3.0 takes a whole new approach to delivering Windows UI components and controls, and is able to deliver the same features on more than one version of Windows 10. Learn WinUI 3.0 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI, Universal Windows Platform (UWP), and XAML applications. The book begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. You'll then set up a new Visual Studio environment and learn how to create a new UWP project. Next, you'll find out how to incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project and develop unit tests for ViewModel commands. Moving on, you'll cover the Windows Template Studio (WTS) new project wizard and WinUI libraries in a step-by-step way. As you advance, you'll discover how to leverage the Fluent Design system to create beautiful WinUI applications. You'll also explore the contents and capabilities of the Windows Community Toolkit and learn to create a new UWP user control. Toward the end, the book will teach you how to build, debug, unit test, deploy, and monitor apps in production. By the end of this book, you'll have learned how to build WinUI applications from scratch and modernize existing WPF and WinForms applications using WinUI controls. What you will learn Get up and running with WinUI and discover how it fits into the landscape of Project Reunion and Windows UI development Build new Windows apps quickly with robust templates Develop testable and maintainable apps using the MVVM pattern Modernize WPF and WinForms applications with WinUI and XAML Islands Discover how to build apps that can target Windows and leverage the power of the web Install the XAML Controls Gallery sample app and explore available WinUI controls Who this book is for This book is for anyone who wants to develop Windows applications with a modern user experience (UX). If you are familiar with UWP and WPF and are looking to enhance your knowledge of Windows development and moder...
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    TensorFlow 2.0 Computer Vision Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838829131
    Language: English
    Pages: 1 online resource (542 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key Features Develop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x Discover practical recipes to overcome various challenges faced while building computer vision models Enable machines to gain a human level understanding to recognize and analyze digital images and videos Book Description Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO). Moving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks. By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x. What you will learn Understand how to detect objects using state-of-the-art models such as YOLOv3 Use AutoML to predict gender and age from images Segment images using different approaches such as FCNs and generative models Learn how to improve your network's performance using rank-N accuracy, label smoothing, and test time augmentation Enable machines to recognize people's emotions in videos and real-time streams Access and reuse advanced TensorFlow Hub models to perform image classification and object detection Generate captions for images using CNNs and RNNs Who this book is for This book is for computer vision de...
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    Deno Web Development (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800205666
    Language: English
    Pages: 1 online resource (310 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to use Deno, the secure JavaScript and TypeScript runtime written in Rust, to write reliable web applications Key Features Understand Deno's essential concepts and features Learn how to use Deno in real-world scenarios Use Deno to develop, test, and deploy web applications and tools Book Description Deno is a JavaScript and TypeScript runtime with secure defaults and a great developer experience. With Deno Web Development, you'll learn all about Deno's primitives, its principles, and how you can use them to build real-world applications. The book is divided into three main sections: an introduction to Deno, building an API from scratch, and testing and deploying a Deno application. The book starts by getting you up to speed with Deno's runtime and the reason why it was developed. You'll explore some of the concepts introduced by Node, why many of them transitioned into Deno, and why new features were introduced. After understanding Deno and why it was created, you will start to experiment with Deno, exploring the toolchain and writing simple scripts and CLI applications. As you progress to the second section, you will create a simple web application and then add more features to it. This application will evolve from a simple 'hello world' API to a web application connected to the database, with users, authentication, and a JavaScript client. In the third section, the book will take you through topics such as dependency management, configuration and testing, finishing with an application deployed in a cloud environment. By the end of this web development book, you will become comfortable with using Deno to create, maintain, and deploy secure and reliable web applications. What you will learn Understand why you should use Deno Get to grips with tooling and the Deno ecosystem Build Deno web applications using existing Node.js knowledge and the newest ECMA Script 6 features Explore the standard library and the benefits of Deno's security model Discover common practices and web frameworks to build a REST API in Deno Structure a web application using common architecture practices Test and deploy a Deno application in the cloud using Docker Who this book is for This book is for developers who want to leverage their JavaScript and TypeScript skills in a secure, simple, and modern runtime, using Deno for web app development. Beginner-level knowledge of Node.js is recommended but not required.
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    Deep Learning from the Basics (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800206137
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key Features Learn deep learning models through several activities Begin with simple machine learning problems, and finish by building a complex system of your own Teach your machines to see by mastering the technologies required for image recognition Book Description Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning. What you will learn Use Python with minimum external sources to implement deep learning programs Study the various deep learning and neural network theories Learn how to determine learning coefficients and the initial values of weights Implement trends such as Batch Normalization, Dropout, and Adam Explore applications like automatic driving, image generation, and reinforcement learning Who this book is for Deep Learning from the Basics is designed for data scientists, data analysts, and developers who want to use deep learning techniques to develop efficient solutions. This book is ideal for those who want a deeper understanding as well as an overview of the technologies. Some working knowledge of Python is a must. Knowledge of NumPy and pandas will be beneficial, but not essential.
    Note: Online resource; Title from title page (viewed March 8, 2021) , Mode of access: World Wide Web.
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    Systems Engineering Demystified (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838985806
    Language: English
    Pages: 1 online resource (468 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systems Key Features Discover how to manage increased complexity and understand systems better via effective communication Adopt a proven model-based approach for systems engineering in your organization Apply proven techniques for requirements, design, validation and verification, and systems engineering management Book Description Systems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects. What you will learn Understand the three evils of systems engineering - complexity, ambiguous communication, and lack of understanding Realize successful systems using model-based systems engineering Understand the concept of life cycles and how they control the evolution of a system Explore processes and related concepts such as activities, stakeholders, and resources Discover how needs fit into the systems life cycle and which processes are relevant and how to comply with them Find out how design, verification, and validation fit into the life cycle and processes Who this book is for This book is for aspiring systems engineers, engineering managers, or anyone looking to apply ...
    Note: Online resource; Title from title page (viewed January 29, 2021) , Mode of access: World Wide Web.
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    Customizing ASP.NET Core 5.0 (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801077866
    Language: English
    Pages: 1 online resource (160 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A guide to discovering the hidden behaviors of ASP.NET Core that can be customized to optimize your .NET 5 applications Key Features Customize the default behavior of ASP.NET Core to get the most out of the framework Enhance the app configuration, change the default dependency injection, and build your own tag helpers Discover best practices for configuring ASP.NET Core, from user interface design to hosting it on platforms Book Description ASP.NET Core is the most powerful Microsoft web framework. Although it's full of rich features, sometimes the default configurations can be a bottleneck and need to be customized to suit the nature and scale of your app. If you're an intermediate-level .NET developer who wants to extend .NET Core to multiple use cases, it's important to customize these features so that the framework works for you effectively. Customizing ASP.NET Core 5.0 covers core features that can be customized for developing optimized apps. The customization techniques are also updated to work with the latest .NET 5 framework. You'll learn essential concepts relating to optimizing the framework such as configuration, dependency injection, routing, action filters, and more. As you progress, you'll be able to create custom solutions that meet the needs of your use case with ASP.NET Core. Later chapters will cover expert techniques and best practices for using the framework for your app development needs, from UI design to hosting. Finally, you'll focus on the new endpoint routing in ASP.NET Core to build custom endpoints and add third-party endpoints to your web apps for processing requests faster. By the end of this application development book, you'll have the skills you need to be able to customize ASP.NET Core to develop robust optimized apps. What you will learn Explore various application configurations and providers in ASP.NET Core 5 Understand dependency injection in .NET and learn how to add third-party DI containers Discover the concept of middleware and write your own middleware for ASP.NET Core apps Create various API output formats in your API-driven projects Get familiar with different hosting models for your ASP.NET Core app Develop custom routing endpoints and add third-party endpoints Configure WebHostBuilder effectively for your web applications Who this book is for This .NET 5 book is for .NET developers who need to change the default behaviors of the framework to help improve the performance of their applications. Inte...
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    Cloud Analytics with Microsoft Azure - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800202436
    Language: English
    Pages: 1 online resource (184 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features Key Features Updated with the latest features and new additions to Microsoft Azure Master the fundamentals of cloud analytics using Azure Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights Book Description Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse. Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization. What you will learn Explore the concepts of modern data warehouses and data pipelines Discover unique design considerations while applying a cloud analytics solution Design an end-to-end analytics pipeline on the cloud Differentiate between structured, semi-structured, and unstructured data Choose a cloud-based service for your data analytics solutions Use Azure services to ingest, store, and analyze data of any scale Who this book is for This book is designed to benefit software engineers, Azure developers, cloud consultants, and anyone who is keen to learn the process of deriving business insights from huge amounts of data using Azure. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.
    Note: Online resource; Title from title page (viewed January 28, 2021) , Mode of access: World Wide Web.
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    Python Natural Language Processing Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838987312
    Language: English
    Pages: 1 online resource (284 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization Key Features Analyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim Implement common and not-so-common linguistic processing tasks using Python libraries Overcome the common challenges faced while implementing NLP pipelines Book Description Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization. Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You'll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you'll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data. By the end of this NLP book, you'll have developed the skills to use a powerful set of tools for text processing. What you will learn Become well-versed with basic and advanced NLP techniques in Python Represent grammatical information in text using spaCy, and semantic information using bag-of-words, TF-IDF, and word embeddings Perform text classification using different methods, including SVMs and LSTMs Explore different techniques for topic modeling such as K-means, LDA, NMF, and BERT Work with visualization techniques such as NER and word clouds for different NLP tools Build a basic chatbot using NLTK and Rasa Extract information from text using regular expression techniques and statistical and deep learning tools Who this book is for This book is for data scientists and professionals who want to learn how to w...
    Note: Online resource; Title from title page (viewed March 19, 2021) , Mode of access: World Wide Web.
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    Python Data Analysis - Third Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789955248
    Language: English
    Pages: 1 online resource (478 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Understand data analysis pipelines using machine learning algorithms and techniques with this practical guide Key Features Prepare and clean your data to use it for exploratory analysis, data manipulation, and data wrangling Discover supervised, unsupervised, probabilistic, and Bayesian machine learning methods Get to grips with graph processing and sentiment analysis Book Description Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you'll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you'll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You'll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you'll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you'll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you'll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data. What you will learn Explore data science and its various process models Perform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing values Create interactive visualizations using Matplotlib, Seaborn, and Bokeh Retrieve, process, and store data in a wide range of formats Understand data preprocessing and feature engineering using pandas and scikit-learn Perform time series analysis and signal processing using sunspot cycle data Analyze textual data and image data to perform advanced analysis Get up to speed with parallel computing using Dask Who this book is for This book is for data analysts, business analysts, statisticians, and data scientists looking ...
    Note: Online resource; Title from title page (viewed February 5, 2021) , Mode of access: World Wide Web.
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    Cleaning Data for Effective Data Science (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801071291
    Language: English
    Pages: 1 online resource (498 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series, and image processing Work with detailed, commented, well-tested code samples in Python and R Book Description It is something of a truism in data science, data analysis, or machine learning that most of the effort needed to achieve your actual purpose lies in cleaning your data. Written in David's signature friendly and humorous style, this book discusses in detail the essential steps performed in every production data science or data analysis pipeline and prepares you for data visualization and modeling results. The book dives into the practical application of tools and techniques needed for data ingestion, anomaly detection, value imputation, and feature engineering. It also offers long-form exercises at the end of each chapter to practice the skills acquired. You will begin by looking at data ingestion of data formats such as JSON, CSV, SQL RDBMSes, HDF5, NoSQL databases, files in image formats, and binary serialized data structures. Further, the book provides numerous example data sets and data files, which are available for download and independent exploration. Moving on from formats, you will impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features that are necessary for successful data analysis and visualization goals. By the end of this book, you will have acquired a firm understanding of the data cleaning process necessary to perform real-world data science and machine learning tasks. What you will learn How to think carefully about your data and ask the right questions Identify problem data pertaining to individual data points Detect problem data in the systematic “shape” of the data Remediate data integrity and hygiene problems Prepare data for analytic and machine learning tasks Impute values into missing or unreliable data Generate synthetic features that are more amenable to data science, data analysis, or visualization goals. Who this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, and students who are interested in data analysis or scientific computing. Basic familiarity with statistics, general concepts in machine learning,...
    Note: Online resource; Title from title page (viewed March 31, 2021) , Mode of access: World Wide Web.
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    Professional Azure SQL Managed Database Administration - Third Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801076524
    Language: English
    Pages: 1 online resource (724 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Master data management by effectively utilizing the features of Azure SQL database. Key Features Learn to automate common management tasks with PowerShell. Understand different methods to generate elastic pools and shards to scale Azure SQL databases. Learn to develop a scalable cloud solution through over 40 practical activities and exercises. Book Description Despite being the cloud version of SQL Server, Azure SQL Database and Azure SQL Managed Instance stands out in various aspects when it comes to management, maintenance, and administration. Updated with the latest Azure features, Professional Azure SQL Managed Database Administration continues to be a comprehensive guide for becoming proficient in data management. The book begins by introducing you to the Azure SQL managed databases (Azure SQL Database and Azure SQL Managed Instance), explaining their architecture, and how they differ from an on-premises SQL server. You will then learn how to perform common tasks, such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you will study how you can save costs and manage and scale multiple SQL databases using elastic pools. You will also implement a disaster recovery solution using standard and active geo-replication. Finally, you will explore the monitoring and tuning of databases, the key features of databases, and the phenomenon of app modernization. By the end of this book, you will have mastered the key aspects of an Azure SQL database and Azure SQL managed instance, including migration, backup restorations, performance optimization, high availability, and disaster recovery. What you will learn Understanding Azure SQL database configuration and pricing options Provisioning a new SQL database or migrating an existing on-premises SQL Server database to an Azure SQL database Backing up and restoring an Azure SQL database Securing and scaling an Azure SQL database Monitoring and tuning an Azure SQL database Implementing high availability and disaster recovery with an Azure SQL database Managing, maintaining, and securing managed instances Who this book is for This book is designed to benefit database administrators, database developers, or application developers who are interested in developing new applications or migrating existing ones with Azure SQL database. Prior experience of working with an on-premise SQL Server or Azure SQL database along with a basic understanding of PowerShell scri...
    Note: Online resource; Title from title page (viewed March 8, 2021) , Mode of access: World Wide Web.
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    Autodesk Fusion 360 - Praxiswissen für Konstruktion, 3D-Druck und CNC (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747503577
    Language: English , German
    Pages: 1 online resource (416 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: 3D-Modelle professionell konstruieren, rendern, animieren und simulieren Aufbereitung der Modelle für 3D-Druck und CNC-Bearbeitungen sowie Einführung in den Fertigungsprozess Alle wichtigen Funktionen anhand praktischer Beispiele Schritt für Schritt erklärt Mit dem cloudbasierten CAD/CAM-Programmsystem Fusion 360 lassen sich schnell und einfach professionelle 3D-Modelle und 2D-Fertigungszeichnungen erstellen und für CNC-Bearbeitungen und 3D-Druck vorbereiten. Dieses Buch bietet eine praktische Einführung in die wichtigsten Funktionen der umfangreichen Software. Dabei setzt der Autor folgende Themenschwerpunkte: 3D-Modelle zweidimensional skizzieren und aus der Skizze heraus erzeugen Volumenkörper-, Flächen-, Freiform- und Netzmodellierung 2D-Fertigungszeichnungen mit Beschriftung und Stücklisten ableiten Bauteile und Baugruppen rendern, animieren und Mechanismen simulieren Erstellen von Fertigungsdaten für 3D-Drucker und CNC-Bearbeitungsmaschinen 3D-Druck und CNC-Bearbeitungen (wie CNC-Fräsen, CNC-Drehen und Laserschneiden) Elektronik-Schaltpläne entwerfen und Leiterplatten-Layouts in 2D und 3D ableiten Alle Funktionen und Arbeitsweisen werden Schritt für Schritt demonstriert und eingeübt. Zahlreiche praktische Beispiele helfen, die verschiedenen Techniken nachzuvollziehen und zu verinnerlichen. Nach der Lektüre dieses Buches sind Sie bestens gerüstet, individuelle 3D-Modelle sowie die entsprechenden Fertigungsdaten zu erstellen und eigene Projekte umzusetzen. Aus dem Inhalt: Installation und Benutzeroberfläche Skizzenerstellung 3D-Modellierung mit Volumen, Flächen, Freiform-Elementen und Netzen Ableiten von Zeichnungen Simulation Baugruppen mit Gelenken Animieren und Rendern Blechkonstruktionen 3D-Druck und CNC-Bearbeitungen (Fräsen, Drehen, Bohren und Schneiden) Schaltplan-Entwurf und Leiterplatten-Layout (2D/3D) Zahlreiche praktische Beispiele
    Note: Online resource; Title from title page (viewed April 20, 2021) , Mode of access: World Wide Web.
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    ASP.NET Core 5 and Angular - Fourth Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800560338
    Language: English
    Pages: 1 online resource (746 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Build a simple, yet fully functional modern web application using .NET 5, Entity Framework Core, and Angular 11 Key Features Comprehensively updated with the latest features and additions in ASP.NET Core 5 and Angular 11 Design, build, and deploy a Single Page Application or Progressive Web App with ASP.NET Core and Angular Adopt a full stack approach to handle data management, Web APIs, application design, testing, SEO, security, and deployment Book Description Learning full-stack development calls for knowledge of both front-end and back-end web development. ASP.NET Core 5 and Angular, Fourth Edition will get you started with Angular to build robust web applications as well as the ASP.NET Core 5 and Web API Controllers to implement API calls and server-side routing in the back-end. This fully revised edition includes a side-by-side comparison of the Visual Studio Angular app versus NG App and coverage of the Angular routing module. You will learn how to build a data model with Entity Framework Core, alongside utilizing the Entity Core Fluent API and EntityTypeConfiguration class. As you progress, you will learn how to handle user input with Angular reactive forms and front-end and back-end validators for maximum effect. You will later explore the advanced debugging and unit testing features provided by xUnit.net (.NET 5) and Jasmine, as well as Karma for Angular. Further, you will dive deep into progressive web applications (PWAs), learning about their technical requirements, testing, and converting SWAs to PWAs. Finally, you will learn how to deploy apps on Windows, Linux, and Azure using IIS, Kestrel, and nginx. By the end of this book, you will be equipped with the skills you need to create, debug, and deploy efficient web applications using ASP.NET Core and Angular. What you will learn Implement a Web API interface with ASP.NET Core and consume it with Angular using RxJS Observables Set up a SQL database server using a local instance or a cloud data store Perform C# and TypeScript debugging using Visual Studio 2019 Create TDD and BDD unit tests using xUnit, Jasmine, and Karma Explore the EF Core Fluent API and EntityTypeConfiguration classes Perform DBMS structured logging using third-party providers such as SeriLog Deploy a Web application to Windows and Linux web servers, or to cloud-based PaaS solutions such as Azure App Service Who this book is for This book is for experienced ASP.NET developers who already possess some experience wi...
    Note: Online resource; Title from title page (viewed January 29, 2021) , Mode of access: World Wide Web.
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    Practical Node-RED Programming (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201590
    Language: English
    Pages: 1 online resource (326 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Use a low-code programming approach to create event-driven applications from scratch by wiring together hardware devices, APIs, and online services Key Features Discover how you can automate the Internet of Things (IoT) without writing huge blocks of code Learn how to wire together flows using a browser-based visual editor Handle IoT data with little to no coding knowledge Book Description Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code. Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You'll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you've covered the basics, you'll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications. By the end of this book, you'll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business. What you will learn Understand the history of Node-RED and why you need to learn a flow-based programming tool Use Node-RED to build Node.js-based applications Handle data for IoT devices using Node-RED flows Explore advanced Node-RED features such as connecting repositories and customizing the flow editor Find out what the MQTT protocol is and how it relates to Node-RED Create and publish your own nodes and flows using the Node-RED library Who this book is for This Node-RED book is for web developers and IoT engineers with some background in JavaScript and Node.js. Although not necessary, familiarity with the concepts of electronics will help you to make the most out of this book.
    Note: Online resource; Title from title page (viewed March 22, 2021) , Mode of access: World Wide Web.
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    AWS for System Administrators (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201538
    Language: English
    Pages: 1 online resource (388 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take your AWS SysOps skills to the next level by learning infrastructure automation techniques using CloudFormation, Terraform, and Boto3 Key Features Explore AWS automation using CloudFormation, Terraform, and Boto3 Leverage AWS to make your infrastructure flexible and highly available Discover various AWS features for building a secure and reliable environment to host your application Book Description Amazon Web Services (AWS) is one of the most popular and efficient cloud platforms for administering and deploying your applications to make them resilient and robust. AWS for System Administrators will help you to learn several advanced cloud administration concepts for deploying, managing, and operating highly available systems on AWS. Starting with the fundamentals of identity and access management (IAM) for securing your environment, this book will gradually take you through AWS networking and monitoring tools. As you make your way through the chapters, you'll get to grips with VPC, EC2, load balancer, Auto Scaling, RDS database, and data management. The book will also show you how to initiate AWS automated backups and store and keep track of log files. Later, you'll work with AWS APIs and understand how to use them along with CloudFormation, Python Boto3 Script, and Terraform to automate infrastructure. By the end of this AWS book, you'll be ready to build your two-tier startup with all the necessary infrastructure, monitoring, and logging components in place. What you will learn Adopt a security-first approach by giving users minimum access using IAM policies Build your first Amazon Elastic Compute Cloud (EC2) instance using the AWS CLI, Boto3, and Terraform Set up your datacenter in AWS Cloud using VPC Scale your application based on demand using Auto Scaling Monitor services using CloudWatch and SNS Work with centralized logs for analysis (CloudWatch Logs) Back up your data using Amazon Simple Storage Service (Amazon S3), Data Lifecycle Manager, and AWS Backup Who this book is for This Amazon Web Services book is for system administrators and solution architects who want to build highly available and flexible AWS Cloud platforms for their applications. Software engineers and programmers looking to deploy their applications to AWS Cloud will also find this book useful. Basic knowledge of Linux and AWS is necessary to get started.
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
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    Amazon Connect : Up and Running (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563834
    Language: English
    Pages: 1 online resource (338 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore Amazon Connect, from implementing call flows and creating AI bots to integrating artificial intelligence solutions and analyzing critical customer sentiment Key Features Discover how to integrate chat with Connect to allow organizations to reduce operations costs Leverage machine learning to perform natural language processing (NLP) for analyzing customer feedback and trends Learn how to integrate your enterprise application with Amazon Connect Book Description Amazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon's customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration. Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics. By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX). What you will learn Become well-versed with the capabilities and benefits of Amazon Connect Determine cost-effective solutions by integrating Connect with AWS Create, modify, and connect contact flows to improve efficiency Build a conversational interface with Amazon Lex Find out how to transfer contact records out of Connect via Kinesis Gather user insights and improve business operations with Amazon QuickSight Analyze customer-agent conversations with ML speech analytics capabilities Discover ways to provide superior customer service at a lower cost Who this book is for This Amazon Connect book is for anyone looking to save costs and improve their...
    Note: Online resource; Title from title page (viewed April 23, 2021) , Mode of access: World Wide Web.
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    Agile Model-Based Systems Engineering Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838985837
    Language: English
    Pages: 1 online resource (646 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Discover recipes for addressing the growing complexity of modern systems by applying agile methodologies and techniques in model-based systems engineering (MBSE) Key Features Learn how Agile and MBSE can work iteratively and collaborate to overcome system complexity Develop essential systems engineering products and achieve crucial enterprise objectives with actionable recipes Implement best practices for building efficient system engineering models Book Description Model-based systems engineering provides an integrated approach to creating verifiable models of engineering data, rather than relying on traditional and vague natural language descriptions that are difficult to verify. This enables you to work on accurate specifications and rapidly design reliable and effective products for the marketplace. Agile MBSE integrates the value proposition of agile methods in systems development, most notably, for managing constant change and uncertainty while continuously ensuring system correctness and meeting customers' needs. Written by Dr. Bruce Powel Douglass, a world-renowned expert in MBSE, this book will take you through important systems engineering workflows and show you how they can be performed effectively with an agile and model-based approach. You'll start by covering the key concepts of agile methods for systems engineering. The book then takes you through initiating a project, defining stakeholder needs, defining and analyzing system requirements, designing system architecture, performing model-based engineering trade studies, and handing systems specifications off to downstream engineering. By the end of this MBSE book, you'll have learned how to implement critical systems engineering workflows and create verifiably correct systems engineering models. What you will learn Apply agile methods to develop systems engineering specifications Perform functional analysis with SysML Derive and model systems architectures from key requirements Model crucial engineering data to clarify systems requirements Communicate decisions with downstream subsystem implementation teams Verify specifications with model reviews and simulations Ensure the accuracy of systems models through model-based testing Who this book is for If you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will tea...
    Note: Online resource; Title from title page (viewed March 31, 2021) , Mode of access: World Wide Web.
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    Microsoft Dynamics 365 Project Operations (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801072076
    Language: English
    Pages: 1 online resource (298 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover the endless capabilities and end-to-end project management functionalities of Dynamics 365 Project Operations to drive your firm's project success and ensure rapid business growth in the competitive digital economic world Key Features Deliver successful projects via improved collaboration, visibility, and teamwork using Microsoft Project Operations solutions Gain real-time data insights to modernize business strategies to increase market share Build the right project operations models to meet business needs with an optimized budget Book Description Dynamics 365 Project Operations is a game-changing solution set for project-driven businesses that allows you to deliver commercially successful projects in a timely and cost-effective manner, keeping the project teams productive and collaborative. With this book, you'll find out how you can bring more value to the business by winning new projects and driving exponential revenue growth. Starting with the key principles of Project Operations, you'll understand how it improves project planning and execution. You'll then learn how to successfully deploy Project Operations along with different integration strategies and get to grips with the best approach for sales through project opportunities, project contracts, and pricing workflow implementation. This book will guide you through setting up direct staffing and centralized staffing models and enable you to manage project changes confidently by getting hands-on with project timeline management, pricing management, resource assignments, and modifications. In the final chapters, you'll find out how to use Project Operations effectively for project accounting and finance. By the end of this book, you'll have gained the confidence to deliver profitable projects in a well-connected organization through efficient decision-making and successful customer-client relationships. What you will learn Configure key elements of Project Operations to drive improved collaboration with your customers Discover how Project Operations is interconnected with Microsoft 365 and Dynamics 365 Platform Understand the Project Opportunity-to-Quote-to-Contract workflow and its implications for selling Find out how to set up and utilize direct staffing and centralized staffing models Explore Project Timeline Management using Task, Board, and Timeline views Find out how information flows to finance and operations in Project Operations Who this book is for This book is for pr...
    Note: Online resource; Title from title page (viewed May 14, 2021) , Mode of access: World Wide Web.
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    Jumpstart Jamstack Development (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800203495
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Leverage Jamstack principles, techniques, and best practices to build dynamic websites and web apps focused on speed, security, and accessibility Key Features Understand how JavaScript integrates with reusable application program interfaces (APIs) and browser markup to build a serverless web application Gain a solid understanding of static site development with Gatsby and its importance in Jamstack Find out how to deploy a Jamstack event website directly from GitHub using Netlify Book Description Jamstack (JavaScript, API, and Markup) enables web developers to create and publish modern and maintainable websites and web apps focused on speed, security, and accessibility by using tools such as Gatsby, Sanity, and Netlify. Developers working with Jamstack will be able to put their knowledge to good use with this practical guide to static site generation and content management. This Jamstack book takes a hands-on approach to implementation and related methodologies that will have you up and running with modern web development in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you'll begin by building an event and venue schema structure, and then expand the functionality, exploring all that the Jamstack has to offer. You'll learn how an example Jamstack is built, build structured content using Sanity to create a schema, use GraphQL to expose the content, and employ Gatsby to build an event website using page and template components and Tailwind CSS Framework. Lastly, you'll deploy the website to both, a Netlify server and the Microsoft Static Web Apps Service, and interact with it using Amazon Alexa. By the end of this book, you'll have gained the knowledge and skills you need to install, configure, build, extend, and deploy a simple events website using Jamstack. What you will learn Discover the Jamstack approach and build speedy, secure, and accessible websites and web apps with its component technologies Build an events website by using the Jamstack and the Gatsby static site generator Create and modify your templates and pages to build creative web apps Build, modify, and extend structured content schemas in Sanity Understand Gatsby plugins, project structure, and files, and how it can be used to build Jamstack apps Find out how GatsbyJS uses GraphQL to source content Who this book is for This book is for web developers looking to implement Jamstack practically. JavaScri...
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    Zscaler Cloud Security Essentials (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800567986
    Language: English
    Pages: 1 online resource (236 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Harness the capabilities of Zscaler to deliver a secure, cloud-based, scalable web proxy and provide a zero-trust network access solution for private enterprise application access to end users Key Features Get up to speed with Zscaler without the need for expensive training Implement Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) security solutions with real-world deployments Find out how to choose the right options and features to architect a customized solution with Zscaler Book Description Many organizations are moving away from on-premises solutions to simplify administration and reduce expensive hardware upgrades. This book uses real-world examples of deployments to help you explore Zscaler, an information security platform that offers cloud-based security for both web traffic and private enterprise applications. You'll start by understanding how Zscaler was born in the cloud, how it evolved into a mature product, and how it continues to do so with the addition of sophisticated features that are necessary to stay ahead in today's corporate environment. The book then covers Zscaler Internet Access and Zscaler Private Access architectures in detail, before moving on to show you how to map future security requirements to ZIA features and transition your business applications to ZPA. As you make progress, you'll get to grips with all the essential features needed to architect a customized security solution and support it. Finally, you'll find out how to troubleshoot the newly implemented ZIA and ZPA solutions and make them work efficiently for your enterprise. By the end of this Zscaler book, you'll have developed the skills to design, deploy, implement, and support a customized Zscaler security solution. What you will learn Understand the need for Zscaler in the modern enterprise Study the fundamental architecture of the Zscaler cloud Get to grips with the essential features of ZIA and ZPA Find out how to architect a Zscaler solution Discover best practices for deploying and implementing Zscaler solutions Familiarize yourself with the tasks involved in the operational maintenance of the Zscaler solution Who this book is for This book is for security engineers, security architects, security managers, and security operations specialists who may be involved in transitioning to or from Zscaler or want to learn about deployment, implementation, and support of a Zscaler solution. Anyone looking to step into the ever-expanding world...
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    Vue.js 3 By Example (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838826345
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the latest Vue 3 features by building high-quality frontend web apps, desktop apps, and full-stack apps using the power of Vuex, Vue Router, and GraphQL Key Features Understand the fundamentals of Vue 3 including components, prop injection, Vuex, and Vue Router Leverage Vue's capabilities for building web apps, mobile apps, and browser games Find out how the Vue Router makes it easy to build single-page applications (SPAs) with Vue.js Book Description With its huge ecosystem and wide adoption, Vue is one of the leading frameworks thanks to its ease of use when developing applications. This book will help you understand how you can leverage Vue effectively to develop impressive apps quickly using its latest version – Vue 3.0. The book takes an example-based approach to help you get to grips with the basics of Vue 3 and create a simple application by exploring features such as components and directives. You'll then enhance your app building skills by learning how to test the app with Jest and Vue Test Utils. As you advance, you'll understand how to write non-web apps with Vue 3, create cross-platform desktop apps with the Electron plugin, and build a multi-purpose mobile app with Vue and Ionic. You'll also be able to develop web apps with Vue 3 that interact well with GraphQL APIs. Finally, you'll build a chat app that performs real-time communication using Vue 3 and Laravel. By the end of this Vue.js book, you'll have developed the skills you need to build real-world apps using Vue 3 by working through a range of projects. What you will learn Get to grips with Vue architecture, components, props, directives, mixins, and other advanced features Understand the Vue 3 template system and use directives Use third-party libraries such as Vue Router for routing and Vuex for state management Create GraphQL APIs to power your Vue 3 web apps Build cross-platform Vue 3 apps with Electron and Ionic Make your Vue 3 apps more captivating with PrimeVue Build real-time communication apps with Vue 3 as the frontend and Laravel Who this book is for This book is for web developers who want to learn frontend web development with Vue 3 and use it to create professional applications. You'll also find this book useful if you're looking to create full-stack web apps with Vue.js 3.0 as the frontend. Knowledge of JavaScript programming is required to get the most out of this book.
    Note: Online resource; Title from title page (viewed April 26, 2021) , Mode of access: World Wide Web.
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    Teaching with Google Classroom - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565920
    Language: English
    Pages: 1 online resource (370 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Build interactive courses for online learning using Google's learning management solution Key Features Discover best practices for developing a creative educational experience using the features of Google Classroom Get to grips with the modern features of Google Classroom that can help you meet the demands of online teaching Create online courses and deliver classes in an interactive manner Book Description Google Classroom is designed to help you manage and deliver online and in-person courses in an interactive manner. Using Google Classroom saves time organizing and communicating information to students and parents. This updated second edition of Teaching with Google Classroom covers the modern features of Google Classroom that meet the current needs of online teaching. The book is written from the high-school perspective but is applicable to teachers and educators of all age groups. If you're new to Google Classroom or an experienced user who wants to explore more advanced methods with Google Classroom, this book is for you. With hands-on tutorials, projects, and self-assessment questions, you'll learn how to create classes, add students to those classes, send announcements, and assign classwork. The book also demonstrates how to start an online discussion with your students. Later, you'll discover how you can involve parents by inviting them to receive guardian emails and sharing Google Calendar with a URL. This will help them to view assignment deadlines and other important information. The book goes step by step through all the features available and examples of how best to use them to manage your classroom. By the end of this book, you'll be able to do more with Google Classroom, managing your online or in-person school classes effectively. What you will learn Create a classroom and add customized information for each individual class Send announcements and questions to students Create, distribute, collect, and grade assignments through Google Classroom Link student accounts to guardian emails for daily or weekly updates Use Google Forms to create quizzes that automatically grade and return results to students Reuse posts, archive classrooms, and perform other administrative tasks in Google Classroom Host online sessions with students and set up Google Classroom's mobile app Who this book is for This Google Classroom book is written by an educator, for educators. It's for anyone who wants to teach effectively with Google Classroom. Ther...
    Note: Online resource; Title from title page (viewed June 14, 2021) , Mode of access: World Wide Web.
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    SwiftUI Essentials – iOS 14 Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801813228
    Language: English
    Pages: 1 online resource (494 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Acquire and hone the skills to develop iOS apps for iPhone and iPad devices using the Xcode development environment, SwiftUI, and the Swift programming language Key Features Learn to write object-oriented code using the Swift programming language Understand how to work with the SwiftUI app lifecycle Become comfortable developing apps using Xcode Book Description Do you want to create iOS apps with SwiftUI, Xcode 12, and Swift 5.3, and want to publish it on the app store? This book helps you achieve these skills with a step-by-step approach. This course first walks you through the steps necessary to set up an iOS development environment together and introduces Swift Playgrounds to learn and experiment with Swift—specifically, the Swift 5.3 programming language. After establishing key concepts of SwiftUI and project architecture, this course provides a guided tour of Xcode in SwiftUI development mode. The book also covers the creation of custom SwiftUI views and explains how these views are combined to create user interface layouts, including the use of stacks, frames, and forms. One of the more important skills you’ll learn is how to integrate SwiftUI views into existing UIKit-based projects and explain the integration of UIKit code into SwiftUI. Finally, the book explains how to package up a completed app and upload it to the app store for publication. Along the way, the topics covered in the book are put into practice through detailed tutorials, the source code for which is also available for download. By the end of this course, you will be able to build your own apps for iOS 14 using SwiftUI and publish it on the app store. What you will learn Install and configure the Xcode integrated development environment Add navigation and lists to your apps Draw graphics and animate your user interfaces Recognize and respond to touches and gestures Integrate SiriKit into your iOS apps Integrate legacy UIKit iOS code into SwiftUI apps and vice versa Who this book is for This book is best suited for iOS developers who want to build their own apps for iOS 14 using SwiftUI. This course assumes that you have an Apple Mac system and are ready to download the iOS 14 SDK while following along with the course.
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    Simplify Testing with React Testing Library (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800564459
    Language: English
    Pages: 1 online resource (246 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A fast-paced, practical guide to helping you leverage React Testing Library to test the DOM output of components Key Features Get to grips with React Testing Library and create tests that don't break with changes in implementation Learn how to put RTL into practice by implementing it in real-world scenarios Test apps to be more accessible and ensure your tests will work with actual DOM nodes Book Description React Testing Library (RTL) is a lightweight and easy-to-use tool for testing the document object model (DOM) output of components. This book will show you how to use this modern, user-friendly tool to test React components, reducing the risk that your application will not work as expected in production. The book demonstrates code snippets that will allow you to implement RTL easily, helping you to understand the guiding principles of the DOM Testing Library to write tests from the perspective of the user. You'll explore the advantages of testing components from the perspective of individuals who will actually use your components, and use test-driven development (TDD) to drive the process of writing tests. As you advance, you'll discover how to add RTL to React projects, test components using the Context API, and also learn how to write user interface (UI) end-to-end tests using the popular Cypress library. Throughout this book, you'll work with practical examples and useful explanations to be able to confidently create tests that don't break when changes are made. By the end of this React book, you will have learned all you need to be able to test React components confidently. What you will learn Explore React Testing Library and its use cases Get to grips with the RTL ecosystem Apply jest-dom to enhance your tests using RTL Gain the confidence you need to create tests that don't break with changes using RTL Integrate Cucumber and Cypress into your test suite Use TDD to drive the process of writing tests Apply your existing React knowledge for using RTL Who this book is for This book is for software engineers, quality engineers and React developers who want to learn about modern practices used for testing React components using the latest testing tool, RTL. Basic knowledge of React development is required to get the most out of this book. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewher...
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    Mastering TypeScript - Fourth Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800564732
    Language: English
    Pages: 1 online resource (538 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Master the TypeScript language and its latest features, explore modern web application frameworks, and build modular systems using industry standard architectural principles and design patterns. Key Features Explore TypeScript 4's key elements and advanced language features Use TypeScript with modern frameworks such as Angular, Vue, React, RxJS and Node Understand TDD, serverless techniques, micro frontends, and other industry-standard best practices to create high-quality and modular apps Book Description TypeScript is both a language and a set of tools to generate JavaScript. It was designed by Anders Hejlsberg at Microsoft to help developers write enterprise-scale JavaScript. Using a fast-paced, but easy-to-follow set of code samples, this fourth edition will get you up and running with Typescript quickly, introduce core concepts, and then build on this knowledge to help you understand and then apply more advanced language features. Mastering TypeScript, Fourth Edition also covers a variety of modern JavaScript and TypeScript frameworks and compares their respective strengths and weaknesses. As you advance through this TypeScript book, you'll explore Angular, React, Vue, RxJs, Express, NodeJS, and others. You'll get up to speed with unit and integration testing, data transformation, serverless technologies, and asynchronous programming. You'll also learn how to integrate with existing JavaScript libraries, control your compiler options, and use decorators and generics. By the end of the book, you will have built a comprehensive set of web applications using Angular, React, and Vue, having integrated them into a single cohesive website, using micro front-end techniques. Mastering TypeScript, Fourth Edition is about learning the language, understanding when to apply its features, and then selecting the framework that is the perfect fit for your real-world project. What you will learn Gain insights into core and advanced TypeScript language features Integrate with existing JavaScript libraries and third-party frameworks Build full working applications using JavaScript frameworks, such as Angular, React, Vue, and more Create test suites for your application with Jest and Selenium Apply industry-standard design patterns to build modular code Develop web server solutions using NodeJS and Express Design and implement serverless API solutions Explore micro front-end technologies and techniques Who this book is for This book serves as a guide for be...
    Note: Online resource; Title from title page (viewed April 23, 2021) , Mode of access: World Wide Web.
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    Mastering Embedded Linux Programming - Third Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789530384
    Language: English
    Pages: 1 online resource (758 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Harness the power of Linux to create versatile and robust embedded solutions Key Features Learn how to develop and configure robust embedded Linux devices Explore the new features of Linux 5.4 and the Yocto Project 3.1 (Dunfell) Discover different ways to debug and profile your code in both user space and the Linux kernel Book Description Embedded Linux runs many of the devices we use every day. From smart TVs and Wi-Fi routers to test equipment and industrial controllers, all of them have Linux at their heart. The Linux OS is one of the foundational technologies comprising the core of the Internet of Things (IoT). This book starts by breaking down the fundamental elements that underpin all embedded Linux projects: the toolchain, the bootloader, the kernel, and the root filesystem. After that, you will learn how to create each of these elements from scratch and automate the process using Buildroot and the Yocto Project. As you progress, the book explains how to implement an effective storage strategy for flash memory chips and install updates to a device remotely once it's deployed. You'll also learn about the key aspects of writing code for embedded Linux, such as how to access hardware from apps, the implications of writing multi-threaded code, and techniques to manage memory in an efficient way. The final chapters demonstrate how to debug your code, whether it resides in apps or in the Linux kernel itself. You'll also cover the different tracers and profilers that are available for Linux so that you can quickly pinpoint any performance bottlenecks in your system. By the end of this Linux book, you'll be able to create efficient and secure embedded devices using Linux. What you will learn Use Buildroot and the Yocto Project to create embedded Linux systems Troubleshoot BitBake build failures and streamline your Yocto development workflow Update IoT devices securely in the field using Mender or balena Prototype peripheral additions by reading schematics, modifying device trees, soldering breakout boards, and probing pins with a logic analyzer Interact with hardware without having to write kernel device drivers Divide your system up into services supervised by BusyBox runit Debug devices remotely using GDB and measure the performance of systems using tools such as perf, ftrace, eBPF, and Callgrind Who this book is for If you're a systems software engineer or system administrator who wants to learn Linux implementation on embedded devices, then...
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    Machine Learning with the Elastic Stack - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801070034
    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your data Key Features Integrate machine learning with distributed search and analytics Preprocess and analyze large volumes of search data effortlessly Operationalize machine learning in a scalable, production-worthy way Book Description Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection. The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with. By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform. What you will learn Find out how to enable the ML commercial feature in the Elastic Stack Understand how Elastic machine learning is used to detect different types of anomalies and make predictions Apply effective anomaly detection to IT operations, security analytics, and other use cases Utilize the results of Elastic ML in custom views, dashboards, and proactive alerting Train and deploy supervised machine learning models for real-time inference Discover various tips and tricks to get the most out of Elastic machine learning Who this book is for If you're a data professional looking to gain insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, then this Elastic Stack machine learning book is for you. You'll also find this book useful if you want to integrate machine learning with your observability, security,...
    Note: Online resource; Title from title page (viewed May 31, 2021) , Mode of access: World Wide Web.
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    Machine Learning with BigQuery ML (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800560307
    Language: English
    Pages: 1 online resource (344 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery ML Key Features Gain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery ML Leverage SQL syntax to train, evaluate, test, and use ML models Discover how BigQuery works and understand the capabilities of BigQuery ML using examples Book Description BigQuery ML enables you to easily build machine learning (ML) models with SQL without much coding. This book will help you to accelerate the development and deployment of ML models with BigQuery ML. The book starts with a quick overview of Google Cloud and BigQuery architecture. You'll then learn how to configure a Google Cloud project, understand the architectural components and capabilities of BigQuery, and find out how to build ML models with BigQuery ML. The book teaches you how to use ML using SQL on BigQuery. You'll analyze the key phases of a ML model's lifecycle and get to grips with the SQL statements used to train, evaluate, test, and use a model. As you advance, you'll build a series of use cases by applying different ML techniques such as linear regression, binary and multiclass logistic regression, k-means, ARIMA time series, deep neural networks, and XGBoost using practical use cases. Moving on, you'll cover matrix factorization and deep neural networks using BigQuery ML's capabilities. Finally, you'll explore the integration of BigQuery ML with other Google Cloud Platform components such as AI Platform Notebooks and TensorFlow along with discovering best practices and tips and tricks for hyperparameter tuning and performance enhancement. By the end of this BigQuery book, you'll be able to build and evaluate your own ML models with BigQuery ML. What you will learn Discover how to prepare datasets to build an effective ML model Forecast business KPIs by leveraging various ML models and BigQuery ML Build and train a recommendation engine to suggest the best products for your customers using BigQuery ML Develop, train, and share a BigQuery ML model from previous parts with AI Platform Notebooks Find out how to invoke a trained TensorFlow model directly from BigQuery Get to grips with BigQuery ML best practices to maximize your ML performance Who this book is for This book is for data scientists, data analysts, data engineers, and anyone looking to get started with Google's BigQuery ML. Yo...
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    Machine Learning Automation with TPOT (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800567887
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key Features Understand parallelism and how to achieve it in Python. Learn how to use neurons, layers, and activation functions and structure an artificial neural network. Tune TPOT models to ensure optimum performance on previously unseen data. Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learn Get to grips with building automated machine learning models Build classification and regression models with impressive accuracy in a short time Develop neural network classifiers with AutoML techniques Compare AutoML models with traditional, manually developed models on the same datasets Create robust, production-ready models Evaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-score Get hands-on with deployment using Flask-RESTful on localhost Who this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learni...
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    Limitless Analytics with Azure Synapse (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800205659
    Language: English
    Pages: 1 online resource (392 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your data Key Features Learn to ingest, prepare, manage, and serve data for immediate business requirements Bring enterprise data warehousing and big data analytics together to gain insights from your data Develop end-to-end analytics solutions using Azure Synapse Book Description Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks. What you will learn Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows Query data using various coding languages on Azure Synapse Focus on Synapse SQL and Synapse Spark Manage and monitor resource utilization and query activity in Azure Synapse Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio Create and manage IP firewall rules in Azure Synapse Who this book is for This book is for data engineers, IT professionals, business analysts, data scientists, and database administrators who are looking to get up and running with the Azure Synapse Analytics pla...
    Note: Online resource; Title from title page (viewed June 18, 2021) , Mode of access: World Wide Web.
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    Learn LLVM 12 (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839213502
    Language: English
    Pages: 1 online resource (392 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to build and use all parts of real-world compilers, including the frontend, optimization pipeline, and a new backend by leveraging the power of LLVM core libraries Key Features Get to grips with effectively using LLVM libraries step-by-step Understand LLVM compiler high-level design and apply the same principles to your own compiler Use compiler-based tools to improve the quality of code in C++ projects Book Description LLVM was built to bridge the gap between compiler textbooks and actual compiler development. It provides a modular codebase and advanced tools which help developers to build compilers easily. This book provides a practical introduction to LLVM, gradually helping you navigate through complex scenarios with ease when it comes to building and working with compilers. You'll start by configuring, building, and installing LLVM libraries, tools, and external projects. Next, the book will introduce you to LLVM design and how it works in practice during each LLVM compiler stage: frontend, optimizer, and backend. Using a subset of a real programming language as an example, you will then learn how to develop a frontend and generate LLVM IR, hand it over to the optimization pipeline, and generate machine code from it. Later chapters will show you how to extend LLVM with a new pass and how instruction selection in LLVM works. You'll also focus on Just-in-Time compilation issues and the current state of JIT-compilation support that LLVM provides, before finally going on to understand how to develop a new backend for LLVM. By the end of this LLVM book, you will have gained real-world experience in working with the LLVM compiler development framework with the help of hands-on examples and source code snippets. What you will learn Configure, compile, and install the LLVM framework Understand how the LLVM source is organized Discover what you need to do to use LLVM in your own projects Explore how a compiler is structured, and implement a tiny compiler Generate LLVM IR for common source language constructs Set up an optimization pipeline and tailor it for your own needs Extend LLVM with transformation passes and clang tooling Add new machine instructions and a complete backend Who this book is for This book is for compiler developers, enthusiasts, and engineers who are new to LLVM and are interested in learning about the LLVM framework. It is also useful for C++ software engineers looking to use compiler-based tools for code analysis a...
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    Foto Storytelling -- Workshop für Fotos, die Geschichten erzählen - Edition ProfiFoto (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747503034
    Language: English , German
    Pages: 1 online resource (176 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Workshop für Fotos, die Geschichten erzählen Mit Fotos Emotionen wecken und einen bleibenden Eindruck hinterlassen Durch ausdrucksstarkes Storytelling aus der Bilderflut herausstechen Jede Menge Übungen und Projekte zur direkten Umsetzung der verschiedenen Techniken Durch Storytelling geben Fotos spannende Einblicke in kleine und große Abenteuer, indem Menschen, Events, Locations und Themen geschickt miteinander verknüpft werden. Der Autor zeigt Fotografiebegeisterten praxisnah anhand vieler Beispiele, wie sie mit ihren Bildern Geschichten erzählen. Finn Beales weiß, wie Aufnahmen das gewisse Etwas bekommen und in Erinnerung bleiben – dies zeigt er anschaulich in diesem Workshop. Unabhängig vom Fotografie-Genre lernen Sie mit seinen fünf Schritten Pitch, Vorbereiten, Aufnahme, Bearbeiten und Liefern sowie anhand vieler hilfreicher Projekte grundlegende Methoden, die auch für Ihre eigenen Bilder funktionieren. Damit ziehen Ihre Fotos die verdiente Aufmerksamkeit auf sich und wecken die Neugier beim Betrachter. Egal, ob Sie mit wenig Aufwand vorgehen oder ein komplettes Shooting durchführen möchten: Sie erfahren hier alles Wissenswerte von Key Shots, nützlicher Ausrüstung und Requisiten über das Arbeiten mit Moodboards und Models bis hin zur Nachbearbeitung und Datenübertragung. Machen Sie aus Ihren Ideen mitreißende, spannende oder herzerwärmende Geschichten und werden Sie zum Storyteller. Aus dem Inhalt: Was eine Story ist und welche Zutaten erfolgreiche Fotos brauchen Aufnahmesituationen verstehen und technisch umsetzen: von Weitwinkel bis Close-Up Viele praktische Foto-Projekte für den Weg zum eigenen Storytelling Mit hilfreichen Praxis-Übungen zu speziellen Techniken wie z.B. Stitching, Lense Flares, Smartphone-Porträts und Rembrandt-Beleuchtung Mit einem Vorwort von Alex Strohl.
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    Expert Python Programming - Fourth Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801071109
    Language: English
    Pages: 1 online resource (630 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Attain a deep understanding of building, maintaining, packaging, and shipping robust Python applications Key Features Discover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matching Create manageable code to run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to write, test, and optimize code Book Description Python is used in a wide range of domains owing to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain can be challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition will help you in not only overcoming such challenges but also learning Python's latest features and advanced concepts. The book begins with a warm-up, where you will catch-up with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. Further, the initial few chapters should allow experienced programmers coming from different languages to safely land in the Python ecosystem. As you progress, you will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live. By the end of the book, you should be proficient in writing efficient and maintainable Python code. What you will learn Explore modern ways of setting up repeatable and consistent Python development environments Effectively package Python code for community and production use Learn about modern syntax elements of Python programming, such as f-strings, dataclasses, enums, and lambda functions Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Monitor and optimize the performance of Python application Extend and integrate Python with code written in different languages Who this book is for The Python programming book is intended for expert programmers who want to learn Python's advanced-level concepts and latest features. Anyone who has basic Python skills should be able to follow the content of the book, ...
    Note: Online resource; Title from title page (viewed May 28, 2021) , Mode of access: World Wide Web.
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    Expert Data Modeling with Power BI (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800205697
    Language: English
    Pages: 1 online resource (612 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI Key Features Understand data modeling techniques to get the best out of data using Power BI Define the relationships between data to extract valuable insights Solve a wide variety of business challenges by building optimal data models Book Description Microsoft Power BI is one of the most popular business intelligence tools available on the market for desktop and the cloud. This book will be your guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics. What you will learn Implement virtual tables and time intelligence functionalities in DAX to build a powerful model Identify Dimension and Fact tables and implement them in Power Query Editor Deal with advanced data preparation scenarios while building Star Schema Explore best practices for data preparation and data modeling Discover different hierarchies and their common pitfalls Understand complex data models and how to decrease the level of model complexity with different data modeling approaches Who this book is for This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. Basic knowledge of Power BI and St...
    Note: Online resource; Title from title page (viewed June 11, 2021) , Mode of access: World Wide Web.
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    Designing Professional Websites with Odoo Website Builder (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801078122
    Language: English
    Pages: 1 online resource (390 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A practical guide to crafting elegant, intuitive, and customer-friendly websites to deliver a high-quality user experience using the powerful features of the Odoo website builder Key Features Understand website creation using the Odoo website builder and learn how to make the most of it Extend your website by configuring the additional tools and functional options Learn about manageability and real-time functioning of the website using various operational tools Book Description The Odoo website builder is an operational tool in the Odoo platform that allows you to design, develop, and manage a website. This book introduces and explains all the features of the Odoo website builder that will help you to be more productive while creating websites. The book starts with an overview of the Odoo website builder, its functionalities, and the tools it offers. Using descriptive illustrations and practical examples, you'll gain detailed insights into the block operations of the Odoo website builder and learn how to work with structure blocks, features blocks, and dynamic content blocks. As you advance, you'll discover how to use the HTML, CSS, or JS editor in Odoo website builder applications for customization. This Odoo book will take you through the different aspects of website building and show you how e-commerce websites can be designed and developed using website builder applications. You'll build a website, manage it, and run a discussion forum in Odoo using the website builder, and apply your knowledge to add a live chat tool that can be incorporated into your website using the Odoo website builder. By the end of this book, you'll have gained a solid understanding of the Odoo website builder and be able to leverage its features to develop your own website. What you will learn Find out how to implement structure blocks while developing a website Work with dynamic content blocks and inner content blocks in the Odoo website builder Use an HTML, CSS, or JS editor in the Odoo website builder to customize applications Create and design a blog with the Odoo website builder Build a fully functional e-commerce website and a discussion forum using the Odoo website builder Track visitors on the website and understand the live chat tool and its functionality Who this book is for This book is for Odoo users, functional consultants, techno-functional consultants, web designers, and anyone looking to create impressive websites. Odoo developers will also find the...
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    Azure Strategy and Implementation Guide - Fourth Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801077972
    Language: English
    Pages: 1 online resource (228 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Leverage Azure's cloud capabilities to find the most optimized path to meeting your firm's cloud infrastructure needs. Key Features Get to grips with the core Azure infrastructure technologies and solutions Develop the ability to opt for cloud design and architecture that best fits your organization Cover the entire spectrum of cloud migration from planning to implementation and best practices Book Description Microsoft Azure is a powerful cloud computing platform that offers a multitude of services and capabilities for organizations of any size moving to a cloud strategy. This fourth edition comes with the latest updates on cloud security fundamentals, hybrid cloud, cloud migration, Microsoft Azure Active Directory, and Windows Virtual Desktop. It encapsulates the entire spectrum of measures involved in Azure deployment that includes understanding Azure fundamentals, choosing a suitable cloud architecture, building on design principles, becoming familiar with Azure DevOps, and learning best practices for optimization and management. The book begins by introducing you to the Azure cloud platform and demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities. The guide also acquaints you with practical insights into application modernization, Azure Infrastructure as a Service (IaaS) deployment, infrastructure management, key application architectures, best practices of Azure DevOps, and Azure automation. By the end of this book, you will have acquired the skills required to drive Azure operations from the planning and cloud migration stage to cost management and troubleshooting. What you will learn Understand core Azure infrastructure technologies and solutions Carry out detailed planning for migrating applications to the cloud with Azure Deploy and run Azure infrastructure services Define roles and responsibilities in DevOps Get a firm grip on Azure security fundamentals Carry out cost optimization in Azure Who this book is for This book is designed to benefit Azure architects, cloud solution architects, Azure developers, Azure administrators, and anyone who wants to develop expertise in operating and administering the Azure cloud. Basic familiarity with operating systems and databases will help you grasp the concepts covered in this book.
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    Android Studio 4.1 Development Essentials – Kotlin Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801815987
    Language: English
    Pages: 1 online resource (822 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Acquire the skills necessary to develop Android apps using the Android Studio integrated development environment and the Kotlin programming language Key Features Learn to code using the Kotlin programming language Use the latest Material Design components to build modern user interface designs Integrate with SQLite databases and the Android Room Persistence Library Book Description Android 11 has a ton of new capabilities. It comes up with three foci: a people-centric approach to communication, controls to let users quickly access and manage all of their smart devices, and privacy to give users more ways to control how data on devices is shared. This book starts off with the steps necessary to set up an Android development and testing environment, followed by an introduction to programming in Kotlin. An overview of Android Studio and its architecture is provided, followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment. You will also learn about the Android architecture components along with some advanced topics such as touch screen handling, gesture recognition, the recording and playback of audio, app links, dynamic delivery, the AndroidStudio profiler, Gradle build configuration, and submitting apps to the Google Play Developer Console. The concepts of material design are also covered in detail. This edition of the book also covers printing, transitions, and cloud-based file storage; foldable device support is the cherry on the cake. By the end of this course, you will be able to develop Android 11 Apps using Android Studio 4.1, Kotlin, and Android Jetpack. What you will learn Install and configure Android Studio on Windows, macOS, and Linux Write multi-threaded Kotlin code using Coroutines Understand Android architecture and app lifecycle Build view model-based apps using the Jetpack architecture Integrate your apps with Google cloud storage Add printing support from within your own apps Who this book is for This book is for Kotlin developers who want to learn essential skills to work with Android Studio 4.1 to build applications. The book also covers important topics about Android architecture essential for anyone looking to become an Android application developer. Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, then you ...
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    Android Studio 4.1 Development Essentials – Java Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801815161
    Language: English
    Pages: 1 online resource (810 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Acquire the skills necessary to develop Android apps using the Android Studio integrated development environment and the Java programming language Key Features Design complex, responsive user interface layouts Use the latest Material Design components to build modern user interface designs Integrate with SQLite databases and the Android Room Persistence Library Book Description For developers, Android 11 has a ton of new capabilities. The goal of this book is to teach the skills necessary to develop Android-based applications using the Java programming language. This book begins with the steps necessary to set up an Android development and testing environment. An overview of Android Studio along with the architecture of Android is covered next, followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment. You will also learn about the Android architecture components along with some advanced topics such as touch screen handling, gesture recognition, the recording and playback of audio, app links, dynamic delivery, the AndroidStudio profiler, Gradle build configuration, and submitting apps to the Google Play Developer Console. The concepts of material design, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars are a highlight of this book. This edition of the book also covers printing, transitions, and cloud-based file storage; the foldable device support is the cherry on the cake. By the end of this course, you will be able to develop Android 11 Apps using Android Studio 4.1, Java, and Android Jetpack. What you will learn Install and configure Android Studio on Windows, macOS, and Linux Detect screen touches and gestures Use Java threads to write asynchronous code Integrate your apps with Google cloud storage Divide large apps using dynamic feature modules Monitor app performances using the Android Studio Profiler tool Who this book is for This book is for Java developers who want to learn essential skills to work with Android Studio 4.1 to build applications. The book also covers important topics about Android architecture that are essential for anyone looking to become an Android application developer. Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and ideas for some apps to develop, you ar...
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    Adversarial Tradecraft in Cybersecurity (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801076203
    Language: English
    Pages: 1 online resource (246 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master cutting-edge techniques and countermeasures to protect your organization from live hackers. Learn how to harness cyber deception in your operations to gain an edge over the competition. Key Features Gain an advantage against live hackers in a competition or real computing environment Understand advanced red team and blue team techniques with code examples Learn to battle in short-term memory, whether remaining unseen (red teams) or monitoring an attacker's traffic (blue teams) Book Description Little has been written about what to do when live hackers are on your system and running amok. Even experienced hackers tend to choke up when they realize the network defender has caught them and is zoning in on their implants in real time. This book will provide tips and tricks all along the kill chain of an attack, showing where hackers can have the upper hand in a live conflict and how defenders can outsmart them in this adversarial game of computer cat and mouse. This book contains two subsections in each chapter, specifically focusing on the offensive and defensive teams. It begins by introducing you to adversarial operations and principles of computer conflict where you will explore the core principles of deception, humanity, economy, and more about human-on-human conflicts. Additionally, you will understand everything from planning to setting up infrastructure and tooling that both sides should have in place. Throughout this book, you will learn how to gain an advantage over opponents by disappearing from what they can detect. You will further understand how to blend in, uncover other actors' motivations and means, and learn to tamper with them to hinder their ability to detect your presence. Finally, you will learn how to gain an advantage through advanced research and thoughtfully concluding an operation. By the end of this book, you will have achieved a solid understanding of cyberattacks from both an attacker's and a defender's perspective. What you will learn Understand how to implement process injection and how to detect it Turn the tables on the offense with active defense Disappear on the defender's system, by tampering with defensive sensors Upskill in using deception with your backdoors and countermeasures including honeypots Kick someone else from a computer you are on and gain the upper hand Adopt a language agnostic approach to become familiar with techniques that can be applied to both the red and blue teams Prepare yourself ...
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    Web Development with Blazor (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208728
    Language: English
    Pages: 1 online resource (310 pages)
    Edition: 1st edition
    DDC: 006.76
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn modern web user interface (UI) development with server-side Blazor and Blazor WebAssembly Key Features Get up to speed with Blazor fundamentals, actionable insights, and best practices Learn how to create and deploy a production-ready Blazor application Find out how, when, and why to use server-side Blazor and Blazor WebAssembly Book Description Until now, creating interactive web pages meant involving JavaScript. But with Blazor, Microsoft's new way to create .NET web applications, developers can easily build interactive and rich web applications using C#. Web Development with Blazor will guide you through the most common challenges in getting started with Blazor. You'll start by learning how to leverage the power of Blazor and learn what you can do with both Blazor Server and Blazor WebAssembly. By showing you how all the elements work together practically, the book will help you solve some of the common roadblocks that developers face. As you advance, you'll learn how to create Blazor Server and Blazor WebAssembly projects, how Razor syntax works, and how to validate forms and create your own components. Later, the book introduces you to key concepts involved in web development with Blazor, which you will be able to put into practice straight away. By the end of this Blazor book, you'll have gained the confidence you need to create and deploy production-ready Blazor applications. What you will learn Understand the different technologies that can be used with Blazor, such as Blazor Server and Blazor WebAssembly Find out how to build simple and advanced Blazor components Explore the differences between Blazor Server and Blazor WebAssembly projects Discover how Entity Framework works and build a simple API Get up to speed with components and find out how to create basic and advanced components Explore existing JavaScript libraries in Blazor Use techniques to debug your Blazor Server and Blazor WebAssembly applications Test Blazor components using bUnit Who this book is for This web development book is for web developers and software developers who want to explore Blazor for building dynamic web UIs. This book assumes beginner-level knowledge of C# programming and intermediate-level web development skills.
    Note: Online resource; Title from title page (viewed June 18, 2021) , Mode of access: World Wide Web.
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    Python Ethical Hacking from Scratch (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838829506
    Language: English
    Pages: 1 online resource (214 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the world of practical ethical hacking by developing custom network scanning and remote access tools that will help you test the system security of your organization Key Features Get hands-on with ethical hacking and learn to think like a real-life hacker Build practical ethical hacking tools from scratch with the help of real-world examples Leverage Python 3 to develop malware and modify its complexities Book Description Penetration testing enables you to evaluate the security or strength of a computer system, network, or web application that an attacker can exploit. With this book, you'll understand why Python is one of the fastest-growing programming languages for penetration testing. You'll find out how to harness the power of Python and pentesting to enhance your system security. Developers working with Python will be able to put their knowledge and experience to work with this practical guide. Complete with step-by-step explanations of essential concepts and practical examples, this book takes a hands-on approach to help you build your own pentesting tools for testing the security level of systems and networks. You'll learn how to develop your own ethical hacking tools using Python and explore hacking techniques to exploit vulnerabilities in networks and systems. Finally, you'll be able to get remote access to target systems and networks using the tools you develop and modify as per your own requirements. By the end of this ethical hacking book, you'll have developed the skills needed for building cybersecurity tools and learned how to secure your systems by thinking like a hacker. What you will learn Understand the core concepts of ethical hacking Develop custom hacking tools from scratch to be used for ethical hacking purposes Discover ways to test the cybersecurity of an organization by bypassing protection schemes Develop attack vectors used in real cybersecurity tests Test the system security of an organization or subject by identifying and exploiting its weaknesses Gain and maintain remote access to target systems Find ways to stay undetected on target systems and local networks Who this book is for If you want to learn ethical hacking by developing your own tools instead of just using the prebuilt tools, this book is for you. A solid understanding of fundamental Python concepts is expected. Some complex Python concepts are explained in the book, but the goal is to teach ethical hacking, not Python.
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    Polished Ruby Programming (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801072724
    Language: English
    Pages: 1 online resource (434 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Become an accomplished Ruby programmer by understanding the design principles, best practices, and trade-offs involved in implementation approaches to keep your Ruby applications maintainable in the long term Key Features Understand the design principles behind polished Ruby code and trade-offs between implementation approaches Use metaprogramming and DSLs to reduce the amount of code needed without decreasing maintainability Learn Ruby web application design principles and strategies for databases, security, and testing Book Description Most successful Ruby applications become difficult to maintain over time as the codebase grows in size. Polished Ruby Programming provides you with recommendations and advice for designing Ruby programs that are easy to maintain in the long term. This book takes you through implementation approaches for many common programming situations, the trade-offs inherent in each approach, and why you may choose to use different approaches in different situations. You'll start by learning fundamental Ruby programming principles, such as correctly using core classes, class and method design, variable usage, error handling, and code formatting. Moving on, you'll learn higher-level programming principles, such as library design, use of metaprogramming and domain-specific languages, and refactoring. Finally, you'll learn principles specific to web application development, such as how to choose a database and web framework, and how to use advanced security features. By the end of this Ruby programming book, you'll have gained the skills you need to design robust, high-performance, scalable, and maintainable Ruby applications. While most code examples and principles discussed in the book apply to all Ruby versions, some examples and principles are specific to Ruby 3.0, the latest release at the time of publication. What you will learn Use Ruby's core classes and design custom classes effectively Explore the principles behind variable usage and method argument choice Implement advanced error handling approaches such as exponential backoff Design extensible libraries and plugin systems in Ruby Use metaprogramming and DSLs to avoid code redundancy Implement different approaches to testing and understand their trade-offs Discover design patterns, refactoring, and optimization with Ruby Explore database design principles and advanced web app security Who this book is for If you already know how to program in Ruby and want to learn...
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    Modern API Development with Spring and Spring Boot (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800562479
    Language: English
    Pages: 1 online resource (582 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A developer's guide to designing, testing, and securing production-ready modern APIs with the help of practical ideas to improve your application's functionality Key Features Build resilient software for your enterprises and customers by understanding the complete API development life cycle Overcome the challenges of traditional API design by adapting to a new and evolving culture of modern API development Use Spring and Spring Boot to develop future-proof scalable APIs Book Description The philosophy of API development has evolved over the years to serve the modern needs of enterprise architecture, and developers need to know how to adapt to these modern API design principles. Apps are now developed with APIs that enable ease of integration for the cloud environment and distributed systems. With this Spring book, you'll discover various kinds of production-ready API implementation using REST APIs and explore async using the reactive paradigm, gRPC, and GraphQL. You'll learn how to design evolving REST-based APIs supported by HATEOAS and ETAGs and develop reactive, async, non-blocking APIs. After that, you'll see how to secure REST APIs using Spring Security and find out how the APIs that you develop are consumed by the app's UI. The book then takes you through the process of testing, deploying, logging, and monitoring your APIs. You'll also explore API development using gRPC and GraphQL and design modern scalable architecture with microservices. The book helps you gain practical knowledge of modern API implementation using a sample e-commerce app. By the end of this Spring book, you'll be able to develop, test, and deploy highly scalable, maintainable, and developer-friendly APIs to help your customers to transform their business. What you will learn Understand RESTful API development, its design paradigm, and its best practices Become well versed in Spring's core components for implementing RESTful web services Implement reactive APIs and explore async API development Apply Spring Security for authentication using JWT and authorization of requests Develop a React-based UI to consume APIs Implement gRPC inter-service communication Design GraphQL-based APIs by understanding workflows and tooling Gain insights into how you can secure, test, monitor, and deploy your APIs Who this book is for This book is for inexperienced Java programmers, comp science, or coding boot camp graduates who have knowledge of basic programming constructs, data struct...
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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  • 96
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    Mastering spaCy (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563353
    Language: English
    Pages: 1 online resource (356 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Build end-to-end industrial-strength NLP models using advanced morphological and syntactic features in spaCy to create real-world applications with ease Key Features Gain an overview of what spaCy offers for natural language processing Learn details of spaCy's features and how to use them effectively Work through practical recipes using spaCy Book Description spaCy is an industrial-grade, efficient NLP Python library. It offers various pre-trained models and ready-to-use features. Mastering spaCy provides you with end-to-end coverage of spaCy's features and real-world applications. You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results. By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps. What you will learn Install spaCy, get started easily, and write your first Python script Understand core linguistic operations of spaCy Discover how to combine rule-based components with spaCy statistical models Become well-versed with named entity and keyword extraction Build your own ML pipelines using spaCy Apply all the knowledge you've gained to design a chatbot using spaCy Who this book is for This book is for data scientists and machine learners who want to excel in NLP as well as NLP developers who want to master spaCy and build applications with it. Language and speech professionals who want to get hands-on with Python and spaCy and software developers who want to quickly prototype applications with spaCy will also find this book helpful. Beginner-level knowle...
    Note: Online resource; Title from title page (viewed July 9, 2021) , Mode of access: World Wide Web.
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  • 97
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    Increasing Autodesk Revit Productivity for BIM Projects (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800566804
    Language: English
    Pages: 1 online resource (492 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover how to implement Revit best practices along with Dynamo and Power BI to visualize and analyze BIM information Key Features Boost productivity in Revit and apply multiple workflows to work efficiently on BIM projects Optimize your daily work in Revit to perform more tasks in less time Take a hands-on approach to improving your efficiency with useful explanations, which will step-change your productivity Book Description Revit software helps architects, BIM coordinators, and BIM managers to create BIM models and analyze data to improve design and construction. Building Information Modeling (BIM) has promoted a transformation in the engineering and construction industries where information is at the core of a methodology that improves productivity, providing several benefits in comparison to the traditional 2D CAD process. This book takes a hands-on approach to implementing this new methodology effectively. Complete with step-by-step explanations of essential concepts and practical examples, this Revit book begins by explaining the principles of productivity in Revit and data management for BIM projects. You'll get to grips with the primary BIM documentation to start a BIM project, including the contract, Exchange Information Requirements (EIR), and BIM Execution Plan (BEP/BXP). Later, you'll create a Revit template, start a Revit project, and explore the core functionalities of Revit to increase productivity. Once you've built the foundation, you'll learn about Revit plugins and use Dynamo for visual programming and Power BI for analyzing BIM information. By the end of this book, you'll have a solid understanding of Revit as construction and design software, how to increase productivity in Revit, and how to apply multiple workflows in your project to manage BIM. What you will learn Explore the primary BIM documentation to start a BIM project Set up a Revit project and apply the correct coordinate system to ensure long-term productivity Improve the efficiency of Revit core functionalities that apply to daily activities Use visual programming with Dynamo to boost productivity and manage data in BIM projects Import data from Revit to Power BI and create project dashboards to analyze data Discover the different Revit plugins for improved productivity, visualization, and analysis Implement best practices for modeling in Revit Who this book is for This book is for architects, designers, engineers, modelers, BIM coordinators, and BIM managers ...
    Note: Online resource; Title from title page (viewed June 21, 2021) , Mode of access: World Wide Web.
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  • 98
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    Datenvisualisierung mit Tableau (2021)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783747503911
    Language: English , German
    Pages: 1 online resource (272 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Visuelle Datenanalyse leicht gemacht: Von den ersten Balkendiagrammen über Cluster und Trendlinien bis zu geografischen Analysen auf Landkarten Erhalten Sie aussagefähige Prognosen durch vorausschauende Zukunftsanalysen Erstellen und teilen Sie interaktive Dashboards und übersichtliche Infografiken Alexander Loth zeigt Ihnen in diesem Buch, wie Sie Ihre Daten ganz einfach visuell darstellen und analysieren. So können Sie selbst komplexe Datenstrukturen besser verstehen und daraus gewonnene Erkenntnisse effektiv kommunizieren. Der Autor erläutert Schritt für Schritt die grundlegenden Funktionen von Tableau. Anhand von Fallbeispielen lernen Sie praxisnah, welche Visualisierungsmöglichkeiten wann sinnvoll sind. Ferner zeigt er Anwendungen, die weit über gängige Standardanalysen hinausreichen, und geht auf Funktionen ein, die selbst erfahrenen Nutzern oft nicht hinlänglich bekannt sind. Sie erhalten außerdem zahlreiche Hinweise und Tipps, die Ihnen das Arbeiten mit Tableau merklich erleichtern. So können Sie zukünftig Ihre eigenen Daten bestmöglich visualisieren und analysieren. Das Buch richtet sich an: alle, die Zugang zu Daten haben und diese verstehen möchten, Führungskräfte, die Entscheidungen auf der Grundlage von Daten treffen, Analysten und Entwickler, die Visualisierungen und Dashboards erstellen, angehende Data Scientists Sie brauchen weder Tableau-Kenntnisse noch besondere mathematische Fähigkeiten oder Programmiererfahrung, um mit diesem Buch effektiv arbeiten zu können. Es eignet sich daher auch für Einsteiger und Anwender, die sich dem Thema Datenvisualisierung und -analyse praxisbezogen nähern möchten. Aus dem Inhalt: Einführung und erste Schritte in Tableau Datenquellen in Tableau anlegen Visualisierungen erstellen Aggregationen, Berechnungen und Parameter Tabellenberechnungen und Detailgenauigkeitsausdrücke Mit Karten zu weitreichenden Erkenntnissen Tiefgehende Analysen mit Trends, Prognosen, Clustern und Verteilungen Interaktive Dashboards Teilen Sie Ihre Analysen mit Ihrem Unternehmen oder der ganzen Welt Daten integrieren und vorbereiten mit Tableau Prep Builder
    Note: Online resource; Title from title page (viewed July 7, 2021) , Mode of access: World Wide Web.
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  • 99
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    Blazor WebAssembly by Example (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800567511
    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover blueprints that explore various components of Blazor, C#, and .NET to help you build web apps without learning JavaScript Key Features Explore complete, easy-to-follow web projects using Blazor Build projects such as a weather app, expense tracker, and Kanban board with real-world applications Understand and work with Blazor WebAssembly effectively without spending too much time focusing on the theory Book Description Blazor WebAssembly makes it possible to run C# code on the browser instead of having to use JavaScript, and does not rely on plugins or add-ons. The only technical requirement for using Blazor WebAssembly is a browser that supports WebAssembly, which, as of today, all modern browsers do. Blazor WebAssembly by Example is a project-based guide for learning how to build single-page web applications using the Blazor WebAssembly framework. This book emphasizes the practical over the theoretical by providing detailed step-by-step instructions for each project. You'll start by building simple standalone web applications and progress to developing more advanced hosted web applications with SQL Server backends. Each project covers a different aspect of the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, event handling, application state, and dependency injection. The book is designed in such a way that you can complete the projects in any order. By the end of this book, you will have experience building a wide variety of single-page web applications with .NET, Blazor WebAssembly, and C#. What you will learn Discover the power of the C# language for both server-side and client-side web development Use the Blazor WebAssembly App project template to build your first Blazor WebAssembly application Use templated components and the Razor class library to build and share a modal dialog box Understand how to use JavaScript with Blazor WebAssembly Build a progressive web app (PWA) to enable native app-like performance and speed Understand dependency injection (DI) in .NET to build a shopping cart app Get to grips with .NET Web APIs by building a task manager app Who this book is for This book is for .NET web developers who are tired of constantly learning new JavaScript frameworks and wish to write web applications using Blazor WebAssembly, leveraging the power of .NET and C#. The book assumes beginner-level knowledge of the C# language, .NET framework, Microsoft Visual Studio, and web development concepts.
    Note: Online resource; Title from title page (viewed July 9, 2021) , Mode of access: World Wide Web.
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  • 100
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    The TypeScript Workshop (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838828493
    Language: English
    Pages: 1 online resource (714 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Broaden your skill set by learning TypeScript and applying your knowledge to build real-world applications Key Features Quickly get started writing TypeScript code with hands-on exercises and activities Develop new skills that can be applied at work or in your own side projects Build your understanding, boost your confidence, and advance your programming career Book Description By learning TypeScript, you can start writing cleaner, more readable code that's easier to understand and less likely to contain bugs. What's not to like? It's certainly an appealing prospect, but learning a new language can be challenging, and it's not always easy to know where to begin. This book is the perfect place to start. It provides the ideal platform for JavaScript programmers to practice writing eloquent, productive TypeScript code. Unlike many theory-heavy books, The TypeScript Workshop balances clear explanations with opportunities for hands-on practice. You'll quickly be up and running building functional websites, without having to wade through pages and pages of history and dull, dry fluff. Guided exercises clearly demonstrate how key concepts are used in the real world, and each chapter is rounded off with an activity that challenges you to apply your new knowledge in the context of a realistic scenario. Whether you're a hobbyist eager to get cracking on your next project, or a professional developer looking to unlock your next promotion, pick up a copy and make a start! Whatever your motivation, by the end of this book, you'll have the confidence and understanding to make it happen with TypeScript. What you will learn Configure a professional TypeScript development environment Explore how to use primitive and complex data types Incorporate types into popular npm (Node package manager) libraries Design systems that use asynchronous behavior Implement object-oriented programming to model real-world scenarios Get to grips with modern UI design by combining React with TypeScript Who this book is for The TypeScript Workshop is for software developers who want to broaden their skill set by learning the TypeScript programming language. To get the most from this TypeScript book, you should have basic knowledge of JavaScript or experience using another similar programming language.
    Note: Online resource; Title from title page (viewed July 29, 2021) , Mode of access: World Wide Web.
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