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  • Online Resource  (2,426)
  • [Erscheinungsort nicht ermittelbar] : Apress  (821)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (737)
  • New York : McGraw-Hill  (466)
  • [Place of publication not identified] : Apress  (402)
  • Electronic books ; local  (2,424)
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  • Online Resource  (2,426)
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  • 1
    Online Resource
    Online Resource
    Learn Robotics Programming - Second Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839218804
    Language: English
    Pages: 1 online resource (602 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Develop an extendable smart robot capable of performing a complex series of actions with Python and Raspberry Pi Key Features Get up to speed with the fundamentals of robotic programming and build intelligent robots Learn how to program a voice agent to control and interact with your robot's behavior Enable your robot to see its environment and avoid barriers using sensors Book Description We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you'll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming. The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you'll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You'll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you'll understand how you can apply the skills that you've learned to visualize, lay out, build, and code your future robot building projects. By the end of this book, you'll have built an interesting robot that can perform basic artificial intelligence operations and be well versed in programming robots and creating complex robotics projects using what you've learned. What you will learn Leverage the features of the Raspberry Pi OS Discover how to configure a Raspberry Pi to build an AI-enabled robot Interface motors and sensors with a Raspberry Pi Code your robot to develop engaging and intelligent robot behavior Explore AI behavior such as speech recognition and visual processing Find out how you can control AI robots with a mobile phone over Wi-Fi Understand how to choose the right parts and assemble your robot Who this book is for This second edition of Learn Robotics Programming is for programmers, developers, and robotics enthusiasts who want to develop a fully functional robot and leverage AI to build interactive robots. Basic knowledge of the Python programming language will help you understand the concepts covered in this robot programming book more effectively.
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Software Architecture with C++ (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838554590
    Language: English
    Pages: 1 online resource (540 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Ostrowski, Adrian Software architecture with C++
    DDC: 005.133
    Keywords: Electronic books ; local ; Programmierung ; C++ ; C
    Abstract: Apply business requirements to IT infrastructure and deliver a high-quality product by understanding architectures such as microservices, DevOps, and cloud-native using modern C++ standards and features Key Features Design scalable large-scale applications with the C++ programming language Architect software solutions in a cloud-based environment with continuous integration and continuous delivery (CI/CD) Achieve architectural goals by leveraging design patterns, language features, and useful tools Book Description Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use. Modern C++ allows developers to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends. The book will then explain what software architecture is and help you explore its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development. By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements. What you will learn Understand how to apply the principles of software architecture Apply design patterns and best practices to meet your architectural goals Write elegant, safe, and performant code using the latest C++ features Build applications that are easy to maintain and deploy Explore the different architectural approaches and learn to apply them as per your requirement Simplify development and operations using application containers Discover various techniques to solve common problems in software design and development Who this book is for This software architecture C++ programming book is for experienced C ...
    Note: Online resource; Title from title page (viewed April 23, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 3
    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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  • 4
    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
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    Online Resource
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  • 5
    Online Resource
    Online Resource
    Unraveling Bluetooth LE Audio : Stretching the Limits of Interoperable Wireless Audio with Bluetooth Next-Generation Low Energy Audio Standards (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484266588
    Language: English
    Pages: 1 online resource (236 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Explore how Bluetooth Low Energy (LE) has transformed the audio landscape, from music streaming to voice recognition applications. This book describes the rationale behind moving to LE audio, the potential power savings, and how various specifications need to be linked together to develop a final end product. LE Audio is a natural development of the Bluetooth audio standard. The standard is spread across more than a dozen different specifications, from application profiles, down to the core transports in both Host part and Controller part. You'll see how this new architecture of the Bluetooth audio stack defines a LE Audio stack from the Core Controller to the Host Protocols, and Profiles. You’ll also learn how to free yourself from wires and charging. LE Audio introduces a new audio compression codec called LC3 (Low Complexity Communication Codec), which covers sampling rates for the full range of voice and media application at high fidelity, low complexity and low bit-rate and is ideal for new applications – such as voice assistance and gaming. Unraveling Bluetooth Low Energy Audio provides full context to anyone who is curious to learn about the new LE Audio technology. What You'll Learn Understand the advantages of LE audio over current standards Describe the overall Bluetooth LE audio stack and its various blocks Enable LE audio with the Core Controller specification See how an end-to-end application works its through the LE audio ecosystem Examine how LE Audio addresses current and future trends in interoperable wireless audio Who This Book Is For The target audience for this book are developers, manufacturers, students, lecturers, teachers, technology geeks, platform integrators, and entrepreneurs.
    Note: Online resource; Title from title page (viewed March 16, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 6
    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.
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  • 7
    Online Resource
    Online Resource
    Software Engineering for Absolute Beginners : Your Guide to Creating Software Products (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484266229
    Language: English
    Pages: 1 online resource (348 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Start programming from scratch, no experience required. This beginners’ guide to software engineering starts with a discussion of the different editors used to create software and covers setting up a Docker environment. Next, you will learn about repositories and version control along with its uses. Now that you are ready to program, you’ll go through the basics of Python, the ideal language to learn as a novice software engineer. Many modern applications need to talk to a database of some kind, so you will explore how to create and connect to a database and how to design one for your app. Additionally you will discover how to use Python’s Flask microframework and how to efficiently test your code. Finally, the book explains best practices in coding, design, deployment, and security. Software Engineering for Absolute Beginners answers the question of what topics you should know when you start out to learn software engineering. This book covers a lot of topics, and aims to clarify the hidden, but very important, portions of the software development toolkit. After reading this book, you, a complete beginner, will be able to identify best practices and efficient approaches to software development. You will be able to go into a work environment and recognize the technology and approaches used, and set up a professional environment to create your own software applications. What You Will Learn Explore the concepts that you will encounter in the majority of companies doing software development Create readable code that is neat as well as well-designed Build code that is source controlled, containerized, and deployable Secure your codebase Optimize your workspace Who This Book Is For A reader with a keen interest in creating software. It is also helpful for students.
    Note: Online resource; Title from title page (viewed January 30, 2021) , Mode of access: World Wide Web.
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  • 8
    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.
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  • 9
    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.
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  • 10
    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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  • 11
    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.
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  • 12
    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.
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  • 13
    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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  • 14
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    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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  • 15
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    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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  • 16
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    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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  • 17
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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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  • 18
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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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  • 19
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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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  • 20
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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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  • 21
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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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  • 22
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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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  • 23
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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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  • 24
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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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  • 25
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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...
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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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    Microsoft 365 Compliance : A Practical Guide to Managing Risk (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484257784
    Language: English
    Pages: 1 online resource (533 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Use the information presented in this book to implement an end-to-end compliance program in your organization using Microsoft 365 tools. You will learn about the solutions available in the Microsoft 365 Compliance Center, including best practices and common pitfalls. IT professionals will benefit from the author’s approach of introducing each topic within a practical business context and scenarios behind the “whys” of compliance. Compliance managers will understand how to implement their requirements in Microsoft 365. Compliance and risk management is often a board- or CEO-level issue. The risks of hefty fines and bad PR from non-compliance are severe. IT is usually responsible for implementing compliance controls and for working with compliance and legal officers to manage the day-to-day risk in an organization. After reading Microsoft 365 Compliance , you will be prepared to have a well-informed conversation with your compliance and legal officers to determine how to work together to identify specific compliance requirements for your organization. You will be able to implement those requirements yourself using Microsoft 365 features. Compliance and legal officers will understand how to communicate their technical requirements to IT. Author Erica Toelle helps you build a solid compliance foundation by teaching you about topics such as information protection, retention, records management, eDiscovery, auditing, compliance with common regulations, managing insider risks, supervising communications, data loss prevention, protecting sensitive information, and using machine learning to reduce compliance costs. What You Will Learn Understand typical business scenarios and requirements for a Microsoft 365 compliance program Fulfill these compliance scenarios and requirements using out of the box Microsoft 365 solutions and functionality Ensure that your Microsoft 365 implementation meets standard compliance regulations, such as GDPR and ISO/IEC 27001:2013 Enlist best practices and things to know when implementing Microsoft 365 solutions Comprehend required Microsoft licensing and how to implement a least permissions model for each compliance solution Explore what you can accomplish using the compliance center user interface, without custom scripting or code This book is for IT professionals, security managers, compliance officers, risk managers, internal audit, records managers, CIOs, and anyone who would like to lea...
    Note: Online resource; Title from title page (viewed April 1, 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 ...
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  • 32
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    Protective Security : Creating Military-Grade Defenses for Your Digital Business (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269084
    Language: English
    Pages: 1 online resource (760 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This book shows you how military counter-intelligence principles and objectives are applied. It provides you with valuable advice and guidance to help your business understand threat vectors and the measures needed to reduce the risks and impacts to your organization. You will know how business-critical assets are compromised: cyberattack, data breach, system outage, pandemic, natural disaster, and many more. Rather than being compliance-concentric, this book focuses on how your business can identify the assets that are most valuable to your organization and the threat vectors associated with these assets. You will learn how to apply appropriate mitigation controls to reduce the risks within suitable tolerances. You will gain a comprehensive understanding of the value that effective protective security provides and how to develop an effective strategy for your type of business. What You Will Learn Take a deep dive into legal and regulatory perspectives and how an effective protective security strategy can help fulfill these ever-changing requirements Know where compliance fits into a company-wide protective security strategy Secure your digital footprint Build effective 5 D network architectures: Defend, detect, delay, disrupt, deter Secure manufacturing environments to balance a minimal impact on productivity Securing your supply chains and the measures needed to ensure that risks are minimized Who This Book Is For Business owners, C-suite, information security practitioners, CISOs, cybersecurity practitioners, risk managers, IT operations managers, IT auditors, and military enthusiasts
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    Programming Microcontrollers with Python : Experience the Power of Embedded Python (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270585
    Language: English
    Pages: 1 online resource (304 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Subero, Armstrong Programming microcontrollers with Python
    Keywords: Electronic books ; local ; Electronic books
    Abstract: For the first time microcontrollers are powerful enough to be programmed in Python. The landscape of embedded systems development is changing, microcontrollers are becoming more powerful, and the rise of the internet of things is leading more developers to get into hardware. This book provides the solid foundation to start your journey of embedded systems development and microcontroller programming with Python. You’ll quickly realize the value of using Python. The theme of the book is simplicity and the cleanness and elegance of Python makes that possible. Featuring a step-by-step approach, this single source guide balances complexity and clarity with insightful explanations that you’ll easily grasp. Python is quickly becoming the language of choice for applications such as machine learning and computer vision on embedded devices. What would previously be daunting and exceedingly difficult to do in C or C++ is now possible with Python because of its level of abstraction. Programming Microcontrollers with Python is your path to bringing your existing skills to the embedded space. What You’ll Learn Review microcontroller basics and the hardware and software requirements Understand an embedded system’s general architecture Follow the steps needed to carry a product to market Take a crash course in Python programming Program a microcontroller Interface with a microcontroller using LCD and Circuit Python Use and control sensors Who This Book Is For Those getting started with microcontrollers, those new to C, C++, and Arduino programming, web developers looking to get into IoT, or Python programmers who wish to control hardware devices.
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    Introducing .NET for Apache Spark : Distributed Processing for Massive Datasets (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269923
    Language: English
    Pages: 1 online resource (269 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers. This book covers how to get a local instance of Apache Spark running on your developer machine and shows you how to create your first .NET program that uses the Microsoft .NET bindings for Apache Spark. Techniques shown in the book allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes. You will learn to process data using both batch mode and streaming mode so you can make the right choice depending on whether you are processing an existing dataset or are working against new records in micro-batches as they arrive. The goal of the book is leave you comfortable in bringing the power of Apache Spark to your favorite .NET language. What You Will Learn Install and configure Spark .NET on Windows, Linux, and macOS Write Apache Spark programs in C# and F# using the .NET bindings Access and invoke the Apache Spark APIs from .NET with the same high performance as Python, Scala, and R Encapsulate functionality in user-defined functions Transform and aggregate large datasets Execute SQL queries against files through Apache Hive Distribute processing of large datasets across multiple servers Create your own batch, streaming, and machine learning programs Who This Book Is For .NET developers who want to perform big data processing without having to migrate to Python, Scala, or R; and Apache Spark developers who want to run natively on .NET and take advantage of the C# and F# ecosystems
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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.
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    Getting Started with WidgetKit : Create Widgets for iOS and iPadOS (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270424
    Language: English
    Pages: 1 online resource (161 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Develop handy, UI/UX friendly and eye-pleasing widgets using the brand new WidgetKit. Apple’s brand new widgets allow iOS users to work with their favorite apps in the home screen of their iPhone or iPad without even opening the app! Join us in this exciting journey as we explore the APIs introduced in Apple’s WidgetKit framework. You'll dive into the human interface guidelines (HIG) for creating widgets and review the recommendations Apple gives to developers for developing widgets with intuitive, easy-to-learn, and consistent user interfaces. In addition, you’ll take a look at some SwiftUI views that are useful not only in creating widgets for iOS apps, but also for creating iOS apps themselves. You’ll put everything you learn into practical application by actually writing code and creating widgets. Get a clear view of how everything works so that you’re able to incorporate widgets into your real-world projects authentically and successfully. What You'll Learn Configure widgets and make them talk to APIs using URLSession Work with timelines and event handling in widgets Fetch content from a remote server and display the data in a widget Make content dynamic both remotely and locally Who This Book Is For iOS developers working in the Apple ecosystem with a basic understanding of SwiftUI.
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    Getting Started with NSX-T: Logical Routing and Switching : The Basic Principles of Building Software-Defined Network Architectures with VMware NSX-T (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484267080
    Language: English
    Pages: 1 online resource (381 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This primer on NSX-T helps you understand the capabilities and features of NSX-T, how to configure and manage NSX-T, and integrate NSX-T with other software. The book is the first in a series that will teach you the basics of NSX-T, which is an update of VMware's original software-defined networking (SDN) architecture aimed at making networks agile and flexible. You will become familiar with VMware's software-defined data center (SDDC) ecosystem and how NSX-T fits in. You will understand NSX-T components such as NSX-T Manager, NSX-T Edge Transport Nodes, and NSX-T Host Transport Nodes. And you will learn how to install and configure network services such as East/West and North/South routing capabilities, layer two switching, VRF, EVPN, multicast, and layer two bridging. The book provides best practices on how to configure routing and switching features, and teaches you how to get the required visibility of not only your NSX-T platform but also your NSX-T-enabled network infrastructure. The book explains security, advanced network features, and multi-site capabilities and demonstrates how network and security services can be offered across multiple on-premise locations with a single pane of glass for networking and security policy management. The interface with public cloud services is discussed and the book explains NSX-T operation in an on-premise private cloud and positioning and integrating NSX-T on a public cloud (off premises). What You Will Learn Understand how NSX-T fits in the VMware SDDC ecosystem Know what NSX-T is, its components, and the terminology used Install NSX-T Configure NSX-T network services Manage the NSX-T network Who This Book Is For Virtualization administrators, system integrators, and network administrators
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    Improving the Quality of ABAP Code : Striving for Perfection (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484267110
    Language: English
    Pages: 1 online resource (526 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Gain an in-depth understanding of the large number of common problems found in ABAP programs and have a robust methodology for fixing problems when you find them. This book also shows you how to prevent them from occurring in new programs. A large chunk of the world’s biggest organizations use SAP software and virtually all of them have very large amounts of custom code. However, a lot of that custom code is not as good as it could be. In this book we look at why object-oriented programming is the basic building block for improved program quality and at the test-driven development that this enables. We cover the three pillars of clarity, stability, and high performance on which a high-quality ABAP program stands. You will then move on to the user interface, which needs its own set of standards for high quality. In the final chapters, you will learn about specialist topics such as user exits, making sure code will run on the latest releases of SAP, and how to add your own automated custom code quality checks. What You Will Learn Know why object-oriented programming and test-driven development are the cornerstones of high-quality custom code Ensure that the three pillars of clarity, stability, and high performance are fulfilled Make sure your applications are user friendly Ensure that your custom code works on newer SAP releases Create your own custom code quality checks Who This Book Is For ABAP developers who started yesterday or have been programming for 20 years
    Note: Online resource; Title from title page (viewed March 16, 2021) , Mode of access: World Wide Web.
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    Building a Salesforce-Powered Front Office : A Quick-Start Guide (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484266762
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Harness the power of Salesforce to manage and grow your business. This book shows you how to use the Salesforce CRM tool to consolidate consumer data into a single place to gain better insight into your business and more easily manage data. Data (such as email, spreadsheets, databases) is generated through the front office or face of your business, where your company interacts with customers and revenue is generated. In a hotel, for instance, the front office is the lobby where guests are greeted, their problems are handled, and room payments are made. Another example is a coffee shop, where the front office is an employee taking a customer's order or serving a drink. Salespeople connect to customers by selling your company’s goods or services. Marketing team members connect with them through advertising and promotional activities. Service and support staff assist customers with problems and provide help with products. This book introduces the many ways Salesforce-based innovations are transforming the technology landscape and the strategies that may be used for designing and launching a digital front office. The book examines how organizations can launch and grow digital solutions and strategies for the governance of the platform and provides an overview of digital transformation across industries. What You Will Learn Understand basic Salesforce concepts, including the digital front office process tower, lead to cash journey, core CRM functions, best practices, and more Review data management concepts, integrated sales, customer service, marketing operations, and proposal and business development needs in a systematic way Use frameworks to build a business architecture and multi-year technology roadmap Get familiar with Salesforce business processes and concepts such as account, contact, lead, and opportunity management; marketing campaigns; master data management (MDM); and lead scoring, grading, and activity management across the front office Define and develop digital marketing challenges and strategy (people, process, brand, messaging, and ROI), measure campaign data, and create an end-to-end campaign in Salesforce Who This Book Is For Business executives, C-suites, IT management, and Salesforce managers and professionals working in IT, business development, sales operations, program management, marketing operations, and proposal development
    Note: Online resource; Title from title page (viewed March 4, 2021) , Mode of access: World Wide Web.
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  • 40
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    Computer Vision with Maker Tech : Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484268216
    Language: English
    Pages: 1 online resource (243 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You’ll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You’ll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable. With those concepts covered, you’ll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc. Finally, you’ll put things together and work through a couple of practical examples. You’ll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you’ll add a voice assistant that uses your own model to recognize your voice. What You'll Learn Develop a voice assistant to control your IoT devices Implement Computer Vision to detect changes in an environment Go beyond simple projects to also gain a grounding machine learning in general See how IoT can become "smarter" with the inception of machine learning techniques Build machine learning models using TensorFlow and OpenCV Who This Book Is For Makers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts.
    Note: Online resource; Title from title page (viewed February 10, 2021) , Mode of access: World Wide Web.
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    Android Software Internals Quick Reference : A Field Manual and Security Reference Guide to Java-based Android Components (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269145
    Language: English
    Pages: 1 online resource (170 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Use this handy field guide as a quick reference book and cheat sheet for all of the techniques you use or reference day to day. Covering up to Android 11, this Android Java programming reference guide focuses on non-UI elements with a security focus. You won’t see Android UI development, nor will you see low-level C or kernel techniques. Instead, this book focuses on easily digestible, useful, and interesting techniques in Java and the Android system. This reference guide was created out of the need for myself to jot down all the useful techniques I commonly reached for, and so I’m now sharing these techniques with you, whether you are an Android internals software engineer or security researcher. What You Will Learn Discover the differences between and how to access application names, package names, IDs, and unique identifiers in Android Quickly reference common techniques such as storage, the activity lifecycle, and permissions Debug using the Android shell Work with Android's obfuscation and encryption capabilities Extract and decompile Android applications Carry out Android reflection and dex class loading Who This Book Is For Programmers, developers, and admins with at least prior Android and Java experience.
    Note: Online resource; Title from title page (viewed March 10, 2021) , Mode of access: World Wide Web.
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  • 42
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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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    Visual Studio Code Distilled : Evolved Code Editing for Windows, macOS, and Linux (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269015
    Language: English
    Pages: 1 online resource (268 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice. Visual Studio Code is an open source and cross-platform development tool that focuses on code editing across a variety of development scenarios, including web, mobile, and cloud development. This second edition of Visual Studio Code Distilled has been updated and expanded with two new chapters on writing apps with Python and building apps for the cloud and deployment to Azure. The book teaches you how to be immediately productive with Visual Studio Code, from the basics to some of the more complex topics. You will learn how to work on individual code files, complete projects, and come away with an understanding of advanced code-editing features that will help you focus on productivity, and source code collaboration with Git. What You Will Learn Get started with practical guidance on Visual Studio Code, including expansive guidance on writing apps with C# and Python Comprehend Visual Studio Code in a way that is not just theory or a list of features, but an approach driven by developer tasks and needs Understand integrated support for team collaboration with Git for executing and debugging code, and the many ways you can extend and customize Visual Studio Code Debug code on multiple platforms through real-world guidance, such as working under corporate networks Expand your coding intelligence from web to mobile to the cloud Acquire valuable tips, tricks, and suggestions from hard-earned, real-world experience to be more productive Who This Book Is For All developers (including JavaScript, Java, NodeJS), not just those with a Microsoft background, who will benefit from learning and using VS code as a cross-platform and cross-language tool
    Note: Online resource; Title from title page (viewed June 7, 2021) , Mode of access: World Wide Web.
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  • 45
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    Test-Driven Development with React : Apply Test-Driven Development in Your Applications (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269725
    Language: English
    Pages: 1 online resource (206 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn to use accelerated test-driven development (TDD) to build a React application from scratch. This book explains how your React components will be integrated, and how to refactor code to make it more concise and flexible. With TDD you can develop a robust test suite to catch bugs, and develop modular, flexible code. Applying your understanding of how HTML, CSS, and JavaScript work in the browser you'll build a web application called Bookish using TDD and mainstream React stack technologies such as React, React-router, and Redux. Using higher code quality you'll be able to write executable documentation using Cucumber. This is just one of many essentials in maintaining a practical TDD workflow in your daily workload. Test-Driven Development with React highlights best practices and design patterns that will enable you to write more maintainable and reusable React components. What You'll Learn Manage your application’s state using Redux Employ professional techniques for backend services Use Cypress as an end-to-end testing framework Utilize React-testing-library for unit and integration tests Who This Book Is For Ideal for web application developers who wants to learn how to write high quality code using Test-Driven Development.
    Note: Online resource; Title from title page (viewed May 19, 2021) , Mode of access: World Wide Web.
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    Multi-Site Network and Security Services with NSX-T : Implement Network Security, Stateful Services, and Operations (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270837
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Know the basics of network security services and other stateful services such as NAT, gateway and distributed firewalls (L2-L7), virtual private networks (VPN), load balancing (LB), and IP address management. This book covers these network and security services and how NSX-T also offers integration and interoperability with various other products that are not only created by VMware, but are also referred by VMware as third-party integrated vendors. With the integration of VMware vRealize Automation, you can automate full application platforms consisting of multiple virtual machines with network and security services orchestrated and fully automated. From the operational perspective, this book provides best practices on how to configure logging, notification, and monitoring features and teaches you how to get the required visibility of not only your NSX-T platform but also your NSX-T-enabled network infrastructure. Another key part of this book is the explanation of multi-site capabilities and how network and security services can be offered across multiple on-premises locations with a single management pane. Interface with public cloud services also is included. The current position of NSX-T operation in on-premises private clouds and the position and integration with off-premises public clouds are covered as well. This book provides a good understanding of integrations with other software to bring the best out of NSX-T and offer even more features and capabilities. What You Will Learn Understand the NSX-T security firewall and advanced security Become familiar with NAT, DNS, DHCP, and load balancing features Monitor your NSX-T environment Be aware of NSX-T authentication and authorization possibilities Understand integration with cloud automation platforms Know what multi-cloud integrations are possible and how to integrate NSX-T with the public cloud Who This Book Is For Virtualization administrators, system integrators
    Note: Online resource; Title from title page (viewed May 20, 2021) , Mode of access: World Wide Web.
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    Mastering Microsoft Teams : End User Guide to Practical Usage, Collaboration, and Governance (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484268988
    Language: English
    Pages: 1 online resource (221 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Do you need to learn how to use Microsoft Teams? Are you questioning how to drive user adoption, govern content, and manage access for your Teams deployment? Either way, the second edition of this bestseller is your one-stop-shop to learning everything you need to know to find success with Microsoft Teams. Microsoft’s popular chat-based collaboration software has many rich features that enable teams to be more efficient, and save valuable time and resources. However, as with all software, there is a learning curve and pitfalls that should be avoided. Begin by learning the core components and use cases for Teams. From there, the authors guide you through ideas to create governance and adoption plans that make sense for your organization or customer. Wrap up with an understanding of features and services in progress, and a roadmap to the future of the product. What You Will Learn Implement, use, and manage Microsoft Teams Understand how Teams drives productivity and engagement by combining the functionality of Microsoft 365 Groups, SharePoint, OneDrive, Outlook, and other services in one location Govern, explain, and use Teams in your organization Use Teams in a structured way to reduce users’ time spent in meetings Know the pitfalls to avoid that may create challenges in your usage of Teams Become familiar with the functionality and components of Teams via walk-throughs, including opportunities for automating business processes in Teams See how educators and students can use Teams to improve remote learning Be aware of business productivity in a remote world with Microsoft Viva Who This Book Is For Anyone who wants to learn Microsoft Teams. To get the most out of the book, a basic understanding of Microsoft 365 and a subscription, including a Microsoft Teams license, is useful.
    Note: Online resource; Title from title page (viewed June 1, 2021) , Mode of access: World Wide Web.
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    Introduction to Python for Kids : Learn Python the Fun Way by Completing Activities and Solving Puzzles (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484268124
    Language: English
    Pages: 1 online resource (563 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Want to create cool games and apps to impress your friends (or yourself), but not sure where to start? Or, have you tried your hand at programming, but got utterly bored after combing through hundreds of pages of dry text? Then you’ve come to the right place! This book is the perfect blend of education and fun for kids 8 years and above looking to learn the magic of Python, one of the easiest and most powerful programming languages around, all while solving fun puzzles and building your own projects on the way. Yes, there’ll be chapters on the fundamentals of Python, such as variables, numbers, strings, automation with conditions, loops and functions, objects, and files. But, early on in the book you’ll get started with Turtle, a Python package that was custom-made for kids like you. It lets you literally draw and animate on your computer! Every concept will be interspersed with a fun mini project with Turtle, so you’ll never get bored. Once you get the fundamentals down, you’ll dive right into Tkinter and Pygame, more fun Python packages (goodbye theory!) and you’ll learn all about creating apps and games like the ones you see and use every day (bouncing ball, temperature converter, calculator, rock-paper-scissors, and so much more!). There are also four capstone projects at the end of the book that convert everything you’ve learned so far into full-blown apps and games that you can show off to your friends, parents, and even teachers! You’ll be creating a snake game with Turtle, a tic tac toe game with Tkinter, a full-fledged paint app, again with Tkinter, and finally, a classic space shooters game with Pygame (the cherry on top). Every project chapter will be accompanied with the logic behind the game/app and an explanation on how you’ve arrived at the logic. You’ll develop strong problem solving skills that’ll help you create future projects on your own. There are also two chapters dedicated to just creating fun mini projects and puzzles, one of them placed in the middle of the book to give you a welcome break from all the learning. The book ends with an overview on web development with Python and ideas for more fun projects and puzzles you can solve on your own. Become the “most likely to succeed” kid in your grade while having the most fun getting there! What You'll Learn Gain a gentle, but thorough introduction into the world of programming and Python Create programs and solve problems with core Python concepts Build ...
    Note: Online resource; Title from title page (viewed June 11, 2021) , Mode of access: World Wide Web.
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    Interprocess Communication with macOS : Apple IPC Methods (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270455
    Language: English
    Pages: 1 online resource (295 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Build highly modular software in macOS that interacts deeply and intuitively with other programs. This book explores all techniques available for Inter-process communications (IPC) from high level macOS layers to deep kernel options while applying theoretical concepts into practical implementations on real world scenarios. You'll see how IPC techniques are used for exchanging data and messages among multiple threads in one or more processes, which may be running on one or more computers connected by a network or running locally. IPC methods can be divided into methods for message passing, synchronization, shared memory, and remote procedure calls (RPC). A poorly conceived IPC can even expose an entire network to over-the-network attacks. Despite the risks, processes and applications absolutely need to communicate with each other across your system and the network. You'll see how these communications facilitate information sharing, computational speedup, modularity, convenience, and privilege separation. In macOS, a program has a number of ways to communicate with other programs. These mechanisms for IPC often exist in different layers of the system. You'll examine how each has its own specific purposes, limitations, and intended scenarios. Some are more suitable than others for code written at a certain level of the system. For example, a kernel extension would not make use of Apple events. Additionally, the book reveals that different users have different rights when it comes to accessing files, changing system wide settings, and so on, depending on whether they are admin users or ordinary users. Running code with root or administrative privileges can intensify the dangers posed by security vulnerabilities. You'll learn that to elevate privileges safely, it is mandatory for the application to perform the task through a secure Helper process. What You'll Learn Expand the capabilities of your programs by sharing data within multiple applications Understand and dig deep into the world of Helper tools to create apps that need user privilege elevation Enhance the modularity of a system by allowing your applications to interact and share data with a website Who This Book Is For Software engineers and architects designing and developing secure applications for macOS and iOS who have hands-on knowledge of Swift with XCode.
    Note: Online resource; Title from title page (viewed May 28, 2021) , Mode of access: World Wide Web.
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    Integrating D3.js with React : Learn to Bring Data Visualization to Life (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270523
    Language: English
    Pages: 1 online resource (373 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Integrate D3.js into a React TypeScript project and create a chart component working in harmony with React. This book will show you how utilize D3 with React to bring life to your charts. Seasoned author Elad Elrom will show you how to create simple charts such as line, bar, donut, scatter, histogram and others, and advanced charts such as a world map and force charts. You'll also learn to share the data across your components and charts using React Recoil state management. Then integrate third-party chart libraries that are built on D3 such as Rechart, Visx, Nivo, React-vi, and Victory and in the end deploy your chart as a server or serverless app on popular platforms. React and D3 are two of the most popular frameworks in their respective areas – learn to bring them together and take your storytelling to the next level. What You'll Learn Set up your project with React, TypeScript and D3.js Create simple and advanced D3.js charts Work with complex charts such as world and force charts Integrate D3 data with React state management Improve the performance of your D3 components Deploy as a server or serverless app and debug test Who This Book Is For Readers that already have basic knowledge of React, HTML, CSS and JavaScript.
    Note: Online resource; Title from title page (viewed June 3, 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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    Extending Kubernetes : Elevate Kubernetes with Extension Patterns, Operators, and Plugins (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270950
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Rely on this comprehensive guide to understand the extension patterns and discover the extension plugins for Kubernetes. In this book, state-of-the-art extension patterns and extension points of Kubernetes are covered in depth with real-life use cases and examples. There are comprehensive discussions in the text on all possible aspects of Kubernetes, starting from end-user to the fully-automated controller development. The book focuses on creating applications that work on Kubernetes and also interact and operate Kubernetes itself. The book starts with a recap of Kubernetes, its rich configuration options, extension patterns, and points. The journey of extending Kubernetes starts with the CLI tool plugins. By the end of this section, you will be able to create and manage kubectl plugins. Then, the API access plugins with authentication and authorization webhooks are presented. In this section, you will learn how to extend and interfere with the API flow of Kubernetes. You then move on to learn how to extend Kubernetes API with new resources and controllers. You will make Kubernetes API work for you by creating a Kubernetes operator. Extensions for Kubernetes schedulers are covered to create a custom scheduler and run it side-by-side with the default scheduler. Finally, the last extension points will be discussed for the infrastructure, such as networking or storage. At the end of the text, you will learn the upcoming extension points. This book is designed to cover all the extension points of Kubernetes with state-of-the-art implementations. This book is intended for those who wish to understand Kubernetes in depth and go further by making Kubernetes work for their custom requirements. By the end of this book, readers with a cloud-native mindset will broaden their vision to create future-proof applications. Rather than focus on overwhelming theoretical information and YAML files for Kubernetes resources, readers are provided with the philosophy behind Kubernetes extensions. With real-life examples and hands-on development steps, you will be more confident in working with Kubernetes. What You Will Learn Know the Kubernetes extension patterns and available extension points Be familiar with the philosophy behind Kubernetes extensions and how they should be integrated into the clusters Design Kubernetes extensions and make Kubernetes work for you Develop, deploy, and operate plugins for Kubernetes ranging from the CLI tool to custom resources, sch...
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    Azure Data Factory by Example : Practical Implementation for Data Engineers (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270295
    Language: English
    Pages: 1 online resource (345 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. The hands-on introduction to ADF found in this book is equally well-suited to data engineers embracing their first ETL/ELT toolset as it is to seasoned veterans of Microsoft’s SQL Server Integration Services (SSIS). The example-driven approach leads you through ADF pipeline construction from the ground up, introducing important ideas and making learning natural and engaging. SSIS users will find concepts with familiar parallels, while ADF-first readers will quickly master those concepts through the book’s steady building up of knowledge in successive chapters. Summaries of key concepts at the end of each chapter provide a ready reference that you can return to again and again. What You Will Learn Create pipelines, activities, datasets, and linked services Build reusable components using variables, parameters, and expressions Move data into and around Azure services automatically Transform data natively using ADF data flows and Power Query data wrangling Master flow-of-control and triggers for tightly orchestrated pipeline execution Publish and monitor pipelines easily and with confidence Who This Book Is For Data engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsoft’s Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operations
    Note: Online resource; Title from title page (viewed June 9, 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...
    Note: Online resource; Title from title page (viewed July 23, 2021) , Mode of access: World Wide Web.
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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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    Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484270981
    Language: English
    Pages: 1 online resource (561 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms. The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author’s active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples. What You will Learn Understand and explore quantum computing and quantum machine learning, and their application in science and industry Explore various data training models utilizing quantum machine learning algorithms and Python libraries Get hands-on and familiar with applied quantum computing, including freely available cloud-based access Be familiar with techniques for training and scaling quantum neural networks Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive Who This Book Is For Data scientists, machine learning professionals, and researchers
    Note: Online resource; Title from title page (viewed July 29, 2021) , Mode of access: World Wide Web.
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    How Algorithms Create and Prevent Fake News : Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484271551
    Language: English
    Pages: 1 online resource (239 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what’s real and what’s not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what’s at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias ­– which gets amplified in harmful data feedback loops. Don’t be afraid: with this book you’ll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. What You Will Learn The ways that data labeling and storage impact machine learning and how feedback loops can occur The history and inner-workings of YouTube’s recommendation algorithm The state-of-the-art capabilities of AI-powered text generation (GPT-3) and video synthesis/doctoring (deepfakes) and how these technologies have been used so far The algorithmic tools available to help with automated fact-checking and truth-detection Who This Book is For People who don’t have a technical background (in data, computers, etc.) but who would like to learn how algorithms impact society; business leaders who want to know the powers and perils of relying on artificial intelligence. A secondary audience is people with a technical background who want to explore the larger social and societal impact of their work.
    Note: Online resource; Title from title page (viewed July 14, 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...
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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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    Pro Azure Administration and Automation : A Comprehensive Guide to Successful Cloud Management (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484273258
    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn best practices and the proper use of Azure management tools, such as Azure Portal, Azure PowerShell, Azure CLI, and ARM templates, which are time-saving tools that support daily administration tasks such as monitoring, alerting, backups, security, and more. This book explores common Azure services, including Azure networking, virtual machines, app services, backup, monitoring, and other tools of the trade that IT professionals use on a regular basis. And you will come away with a strong understanding of these services and how to use them. While Microsoft Azure is no longer “the new cloud on the block,” it continues to be one of the fastest-growing platforms with regard to features, integrations, and capabilities. Over the last decade, it has undergone significant changes and amassed a large following, but many of its users, especially those who transitioned from traditional admin tasks to modern cloud computing, are not reaping its full benefits. Management in the cloud, while seemingly simpler in some ways, is not without its own set of complexities and headaches. Admins want to streamline it where it makes sense and allocate the right resources to the right job in order to keeps cost in check, but where does one begin? Pro Azure Administration and Automation is a comprehensive guide that is chock full of time-saving recipes and scripts you can rely on to learn about day-to-day Azure administration and automation. What You Will Learn Attain theoretical and practical knowledge on deploying and managing Azure Gain an understanding of services, their relationship with other services, and their configuration parameters Adopt a modern mindset, transitioning from a traditional IT admin mindset to a cloud admin pro Understand how everything in the cloud is billable and learn how to factor it into choices Apply in-chapter PowerShell scripts and ARM templates which can be re-purposed Know when it makes sense to be more involved in tasks (for example, automation and scripting) Who This Book Is For IT professionals who are responsible for the day-to-day tasks in Azure as well as cloud management and planning
    Note: Online resource; Title from title page (viewed August 26, 2021) , Mode of access: World Wide Web.
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    Advanced Analytics with Transact-SQL : Exploring Hidden Patterns and Rules in Your Data (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484271735
    Language: English
    Pages: 1 online resource (308 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn about business intelligence (BI) features in T-SQL and how they can help you with data science and analytics efforts without the need to bring in other languages such as R and Python. This book shows you how to compute statistical measures using your existing skills in T-SQL. You will learn how to calculate descriptive statistics, including centers, spreads, skewness, and kurtosis of distributions. You will also learn to find associations between pairs of variables, including calculating linear regression formulas and confidence levels with definite integration. No analysis is good without data quality. Advanced Analytics with Transact-SQL introduces data quality issues and shows you how to check for completeness and accuracy, and measure improvements in data quality over time. The book also explains how to optimize queries involving temporal data, such as when you search for overlapping intervals. More advanced time-oriented information in the book includes hazard and survival analysis. Forecasting with exponential moving averages and autoregression is covered as well. Every web/retail shop wants to know the products customers tend to buy together. Trying to predict the target discrete or continuous variable with few input variables is important for practically every type of business. This book helps you understand data science and the advanced algorithms use to analyze data, and terms such as data mining, machine learning, and text mining. Key to many of the solutions in this book are T-SQL window functions. Author Dejan Sarka demonstrates efficient statistical queries that are based on window functions and optimized through algorithms built using mathematical knowledge and creativity. The formulas and usage of those statistical procedures are explained so you can understand and modify the techniques presented. T-SQL is supported in SQL Server, Azure SQL Database, and in Azure Synapse Analytics. There are so many BI features in T-SQL that it might become your primary analytic database language. If you want to learn how to get information from your data with the T-SQL language that you already are familiar with, then this is the book for you. What You Will Learn Describe distribution of variables with statistical measures Find associations between pairs of variables Evaluate the quality of the data you are analyzing Perform time-series analysis on your data Forecast values of a continuous variable Perform market-basket analysis to predi...
    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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    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.
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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 ...
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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...
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    Simple and Efficient Programming with C# : Skills to Build Applications with Visual Studio and .NET (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484273227
    Language: English
    Pages: 1 online resource (282 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Apply skills and approaches to your programming to build a real-world application in C# 9 using the latest editions of Visual Studio, C#, and Microsoft .NET. Each chapter opens with an introduction and original application written in C# 9 for you to jump into coding. From there, you are guided through an expected output and taught best practices along the way. Author Vaskaran Sarcar emphasizes extending and maintaining the same program and he demonstrates examples for different scenarios to make your program more efficient and effective. This book is divided into four parts. The first part starts with a detailed discussion of polymorphism. It then shows you how to make proper use of abstract classes and interfaces, and you will know which technique to use for a specific scenario. Discussions on code comments teach you how to use them effectively, and why you need to be careful with code comments. In the second part you will learn six design principles, including SOLID and DRY principles. These are the foundation of well-known design patterns and they establish practices for developing software with considerations for maintaining and extending as a project grows. The third part takes you through the methods to make efficient applications. You will learn the common use of factories to separate code from its opposite and the alternative of inheritance using object composition and wrappers. This part also demonstrates the use of template methods, hooks, and facades in programming. Hints show you how professional coders develop an enterprise application. In the fourth and final part you will learn about effective memory management techniques by preventing leaks in your application and the use and misuse of design patterns. This part also discusses how to decide between a static method and an instance method and other techniques, in brief. After reading this book, you will be able to implement best practices to make your programs more effective and reliable. What Will You Learn Analyze the alternative solutions before implementation by comparing the pros and cons Make polymorphic code perform better Know the side-effects of bad/redundant comments Understand the significance of the SOLID and DRY principles Add features using wrappers Redefine steps without altering the calling sequence of an algorithm Use hooks in your application Convert a complex system into a user-friendly system using facades Run your application in .NET ...
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    Basic Python for Data Management, Finance, and Marketing : Advance Your Career by Learning the Most Powerful Analytical Tool (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484271896
    Language: English
    Pages: 1 online resource (324 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns. What You'll Learn Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely Who This Book Is For Professionals who want to find a job in the modern world or advance their careers within field of Python programming language.
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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...
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    Programming Basics : Getting Started with Java, C#, and Python (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484272862
    Language: English
    Pages: 1 online resource (172 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Explore the basics of the three most popular programming languages: C#, Java, and Python and see what it's like to function in today's world from the perspective of a programmer. This book's uses is highly practical approach with numerous code listings aimed at bringing generations together through the intricacies of technology. You'll learn how understanding the basics of coding benefits non-programmers working with software developers. Those in the gaming/media industry will also benefit from understanding a programmer's point of view. The same applies to software testers and even company executives, who might have an education in business instead of computer science. What You'll Learn Think and read code-listings like a programmer Gain a basic working proficiency in three popular programming languages Communicate more efficiently with programmers of all experience levels in a work-based environment Review advanced OOP concepts such as exceptions and error handling Set up your programming environments for Windows, MacOS, and Linux Who This Book Is For Those looking to discover programming, including beginners in all fields, and professionals looking to understand how code works.
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    Natural Language Processing Recipes : Unlocking Text Data with Machine Learning and Deep Learning Using Python (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484273517
    Language: English
    Pages: 1 online resource (302 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters explain advanced industrial applications of NLP with solution implementation and leveraging the power of deep learning techniques for NLP problems. It also employs state-of-the-art advanced RNNs, such as long short-term memory, to solve complex text generation tasks. After reading this book, you will have a clear understanding of the challenges faced by different industries and you will have worked on multiple examples of implementing NLP in the real world. What You Will Learn Know the core concepts of implementing NLP and various approaches to natural language processing (NLP), including NLP using Python libraries such as NLTK, textblob, SpaCy, Standford CoreNLP, and more Implement text pre-processing and feature engineering in NLP, including advanced methods of feature engineering Understand and implement the concepts of information retrieval, text summarization, sentiment analysis, text classification, and other advanced NLP techniques leveraging machine learning and deep learning Who This Book Is For Data scientists who want to refresh and learn various concepts of natural language processing (NLP) through coding exercises
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    Modernizing Enterprise CMS Using Pimcore (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    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...
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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...
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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.
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    CISSP (ISC)2 Certification Practice Exams and Tests (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    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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    Beginning Azure Cognitive Services : Data-Driven Decision Making Through Artificial Intelligence (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484271766
    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization. The authors begin by introducing the tools and describing the steps needed to invoke libraries to analyze structured and unstructured text, speech, and pictures, and you will learn to create interactive chatbots using the Cognitive Services libraries. Each chapter contains the information you need to implement artificial intelligence (AI) via Azure Cognitive Services in your personal and professional projects. The book also covers ethical considerations that are becoming increasingly of concern when using AI to drive decision making. You will be introduced to tools such as FairLearn and InterpretML that can help you detect bias and understand the results your models are generating. What You Will Learn Invoke the Cognitive Services APIs from a variety of languages and apps Understand common design architectures for AI solutions in Azure Decrease discrimination and bias when creating an AI-driven solution Execute the examples within the book and learn how to extend those examples Implement best practices for leveraging the Vision, Speech, and Language parts of the suite Test Cognitive Services APIs via the Azure portal and using the Postman API tool Execute AI from low-code and no-code platforms like Logic Apps and Microsoft’s Power Platform Who This Book Is For Technical professionals who are interested in implementing artificial intelligence (AI) in pre-existing apps, expanding their value and skill sets, or learning more about AI for personal projects; for programmers working in languages such as C# and Python; and for those using low- and no-code platforms such as Microsoft Power Platform
    Note: Online resource; Title from title page (viewed August 13, 2021) , Mode of access: World Wide Web.
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    Azure Security Handbook : A Comprehensive Guide for Defending Your Enterprise Environment (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484272923
    Language: English
    Pages: 1 online resource (162 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Did you know that the most common cloud security threats happen because of cloud service misconfigurations, not outside attacks? If you did not, you are not alone. In the on-premises world, cybersecurity risks were limited to the organization’s network, but in the era of cloud computing, both the impact and likelihood of potential risks are significantly higher. With the corresponding advent of DevOps methodology, security is now the responsibility of everyone who is part of the application development life cycle, not just the security specialists. Applying the clear and pragmatic recommendations given in this book, you can reduce the cloud applications security risks in your organization. This is the book that every Azure solution architect, developer, and IT professional should have on hand when they begin their journey learning about Azure security. It demystifies the multitude of security controls and offers numerous guidelines for Azure, curtailing hours of learning fatigue and confusion. Throughout the book you will learn how to secure your applications using Azure’s native security controls. After reading this book, you will know which security guardrails are available, how effective they are, and what will be the cost of implementing them. The scenarios in this book are real and come from securing enterprise applications and infrastructure running on Azure. What You Will Learn Remediate security risks of Azure applications by implementing the right security controls at the right time Achieve a level of security and stay secure across your Azure environment by setting guardrails to automate secure configurations Protect the most common reference workloads according to security best practices Design secure access control solutions for your Azure administrative access, as well as Azure application access Who This Book Is For Cloud security architects, cloud application developers, and cloud solution architects who work with Azure. It is also a valuable resource for those IT professionals responsible for securing Azure workloads in the enterprise.
    Note: Online resource; Title from title page (viewed August 28, 2021) , Mode of access: World Wide Web.
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  • 80
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    Coding Art : The Four Steps to Creative Programming with the Processing Language (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484262641
    Language: English
    Pages: 1 online resource (284 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Finally, a book on creative programming, written directly for artists and designers! Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. In this book you'll learn to apply computation into the creative process by following a four-step process, and through this, land in the cross section of coding and art, with a focus on practical examples and relevant work structures. You'll follow a real-world use case of computation art and see how it relates back to the four key pillars, and addresses potential pitfalls and challenges in the creative process. All code examples are presented in a fully integrated Processing example library, making it easy for readers to get started. This unique and finely balanced approach between skill acquisition and the creative process and development makes Coding Art a functional reference book for both creative programming and the creative process for professors and students alike. What You’ll Learn Review ideas and approaches from creative programming to different professional domains Work with computational tools like the Processing language Understand the skills needed to move from static elements to animation to interaction Use interactivity as input to bring creative concepts closer to refinement and depth Simplify and extend the design of aesthetics, rhythms, and smoothness with data structures Leverage the diversity of art code on other platforms like the web or mobile applications Understand the end-to-end process of computation art through real world use cases Study best practices, common pitfalls, and challenges of the creative process Who This Book Is For Those looking to see what computation and data can do for their creative expression; learners who want to integrate computation and data into their practices in different perspectives; and those who already know how to program, seeking creativity and inspiration in the context of computation and data.
    Note: Online resource; Title from title page (viewed January 6, 2021) , Mode of access: World Wide Web.
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  • 81
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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.
    Note: Online resource; Title from title page (viewed January 8, 2021) , Mode of access: World Wide Web.
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    Design Patterns in .NET Core 3 : Reusable Approaches in C# and F# for Object-Oriented Software Design (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484261804
    Language: English
    Pages: 1 online resource (371 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Nesteruk, Dmitri Design patterns in .NET Core 3
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Implement design patterns in .NET Core 3 using the latest versions of the C# and F# languages. This book provides a comprehensive overview of the field of design patterns as they are used in today’s developer toolbox. This new edition introduces topics such as Functional Builder, Asynchronous Factory Method, Generic Value Adapter, and new Composite Proxies, including one that attempts to solve the SoA/AoS problem. Using the C# and F# programming languages, Design Patterns in .NET Core 3 explores the classic design pattern implementations and discusses the applicability and relevance of specific language features for implementing patterns. You will learn by example, reviewing scenarios where patterns are applicable. MVP and patterns expert Dmitri Nesteruk demonstrates possible implementations of patterns, discusses alternatives and pattern inter-relationships, and illustrates the way that a dedicated refactoring tool (ReSharper) can be used to implement design patterns with ease. What You Will Learn Become familiar with the latest pattern implementations available in C# 8 and F# 5 Know how to better reason about software architecture Understand the process of refactoring code to patterns Refer to researched and proven variations of patterns Study complete, self-contained examples, including many that cover advanced scenarios Use the latest implementations of C# and Visual Studio/Rider/ReSharper Who This Book Is For Developers who have some experience in the C# language and want to expand their comprehension of the art of programming by leveraging design approaches to solving modern problems
    Note: Online resource; Title from title page (viewed January 4, 2021) , Mode of access: World Wide Web.
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    Deep Learning with Swift for TensorFlow : Differentiable Programming with Swift (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484263303
    Language: English
    Pages: 1 online resource (295 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respectively. You will understand the nuts and bolts of building and training neural networks, and build advanced algorithms. What You’ll Learn • Understand deep learning concepts • Program various deep learning algorithms • Run the algorithms in cloud Who This Book Is For • Newcomers to programming and/or deep learning, and experienced developers. • Experienced deep learning practitioners and researchers who desire to work in user space instead of library space with a same programming language without compromising the speed
    Note: Online resource; Title from title page (viewed January 13, 2021) , Mode of access: World Wide Web.
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    Convolutional Neural Networks with Swift for Tensorflow : Image Recognition and Dataset Categorization (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484261682
    Language: English
    Pages: 1 online resource (254 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. What You'll Learn Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices Who This Book Is For Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.
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    Blockchain Enabled Applications : Understand the Blockchain Ecosystem and How to Make it Work for You (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484265345
    Language: English
    Pages: 1 online resource (388 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn all about blockchain and its applications in cryptocurrency, healthcare, Internet of Things, finance, decentralized organizations, and more. Featuring case studies and practical insights, this book covers a unique mix of topics and offers insight into how to overcome hurdles that arise as the market and consumers grow accustomed to blockchain-based organizations and services. The book is divided into three major sections. The first section provides a historical background to blockchain technology. You will start with a historical context to financial capital markets when Bitcoin was invented, followed by mining protocols, the need for consensus, hardware mining, etc. Next, a formal introduction to blockchain is provided covering transaction workflow, role of decentralized network, and payment verification. Then, we dive deep into a different implementation of a blockchain: Ethereum. The main technical features, such as Ethereum Virtual Machine, are presented along with the smart contract programming language, Solidity. In this second section, you will look at some modern use cases for blockchain from a decentralized autonomous organization, high-performance computing in Ethereum and off-grid computations, and healthcare and scientific discovery. The final section of the book looks toward the future of blockchain. This is followed by chapters covering the rise of consortia in the blockchain world, the Hyperledger project, particularly the updates since 2018, and a chapter on educational blockchain games. This is followed by updates to EOS.IO, Chain Core, and Quorum, ICOs and a look at the major changes to financial markets brought about by blockchain and decentralized networks. What You Will Learn Get an overview of the popular games employed to teach the basic concepts of blockchain and decentralized networks Be familiar with the rise of blockchain consortiums as well as updates to Hyperledger Project, 2020 Find out about cloud blockchains, including Microsoft Azure and Amazon Webservices, and how to set up test environments Study machine learning integration in the blockchain and the role of smart contracts Who This Book Is For Blockchain developers interested in keeping up with the newest updates and students looking for a broad overview of this vast ecosystem, plus business executives who want to make informed product decisions about including blockchain as well as policy makers who want a better understanding of t...
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    Pointers in C Programming : A Modern Approach to Memory Management, Recursive Data Structures, Strings, and Arrays (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484269275
    Language: English
    Pages: 1 online resource (539 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer basics and advanced features. It includes the latest versions of the C language, C20, C17, and C14. You’ll see how pointers are used to provide vital C features, such as strings, arrays, higher-order functions and polymorphic data structures. Along the way, you’ll cover how pointers can optimize a program to run faster or use less memory than it would otherwise. There are plenty of code examples in the book to emulate and adapt to meet your specific needs. What You Will Learn Work effectively with pointers in your C programming Learn how to effectively manage dynamic memory Program with strings and arrays Create recursive data structures Implement function pointers Who This Book Is For Intermediate to advanced level professional programmers, software developers, and advanced students or researchers. Prior experience with C programming is expected.
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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...
    Note: Online resource; Title from title page (viewed February 26, 2021) , Mode of access: World Wide Web.
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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 ...
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  • 92
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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...
    Note: Online resource; Title from title page (viewed January 28, 2021) , Mode of access: World Wide Web.
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  • 93
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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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  • 94
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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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  • 95
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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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  • 96
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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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  • 97
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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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  • 98
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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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  • 99
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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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  • 100
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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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