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  • 2015-2019  (199)
  • Safari, an O’Reilly Media Company  (199)
  • Verlag C.H. Beck
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (118)
  • [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional  (51)
  • [Erscheinungsort nicht ermittelbar] : Pearson IT Certification  (30)
Datasource
Material
Language
Years
Year
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    MTA 98-364 : Database Fundamentals LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases and prepare for the Microsoft Technology Associate (MTA) exam 98-364: Database Fundamentals. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database experience About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Professional Azure SQL Database Administration - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (562 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage the features of Azure SQL database and become an expert in data management Key Features Explore ways to create shards and elastic pools to scale Azure SQL databases Automate common management tasks with PowerShell Implement over 40 practical activities and exercises to reinforce your learning Book Description Despite being the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. This book shows you how to administer Azure SQL database to fully benefit from its wide range of features and functionality. Professional Azure SQL Database Administration begins by covering the architecture and explaining the difference between Azure SQL Database and the on-premise SQL Server to help you get comfortable with Azure SQL database. You’ll perform common tasks such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you’ll study how you can save costs and manage and scale multiple SQL Databases using elastic pools. You’ll also implement a disaster recovery solution using standard and active geo-replication. Whether it is learning different techniques to monitor and tune an Azure SQL database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions. By the end of this book, you’ll be well versed with key aspects of an Azure SQL database instance, such as migration, backup restorations, performance optimization, high availability, and disaster recovery. What you will learn Understand Azure SQL Database configuration and pricing options Provision a new SQL database or migrate an existing on-premise SQL Server database to Azure SQL Database Back up and restore Azure SQL Database Secure an Azure SQL database Scale an Azure SQL database Monitor and tune an Azure SQL database Implement high availability and disaster recovery with Azure SQL Database Automate common management tasks with PowerShell Develop a scalable cloud solution with Azure SQL Database Manage, maintain, and secure managed instances Who this book is for If you're a database administrator, database developer, or an application developer interested in developing new applications or migrating existing ones with Azure SQL database, this book is for you. Prior experience of working with an on-premise SQL Server or Azure SQL database along with a bas...
    Note: Online resource; Title from title page (viewed July 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789802542/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    MicroPython Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (452 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how you can control LEDs, make music, and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC micro:bit Key Features Load and execute your first program with MicroPython Program an IoT device to retrieve weather data using a RESTful API Get to grips with integrating hardware, programming, and networking concepts with MicroPython Book Description MicroPython is an open source implementation of Python 3 that runs in embedded environments. With MicroPython, you can write clean and simple Python code to control hardware instead of using complex low-level languages such as C and C++. This book guides you through all the major applications of the MicroPython platform to build and program projects that use microcontrollers. This MicroPython book covers recipes that will help you experiment with the programming environment and hardware programmed in MicroPython. You'll find tips and techniques for building a variety of objects and prototypes that can sense and respond to touch, sound, position, heat, and light. This book will take you through the uses of MicroPython with a variety of popular input devices and sensors. You'll learn techniques to handle time delays and sensor readings, and apply advanced coding techniques to create complex projects. As you advance, you'll deal with Internet of Things (IoT) devices and integration with other online web services. In addition to this, you'll use MicroPython to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the gameplay. By the end of this book, you'll have mastered the tips and tricks to troubleshoot your development problems and take your MicroPython project to the next level. What you will learn Execute code without any need for compiling or uploading using REPL (read-evaluate-print-loop) Program and control LED matrix and NeoPixel drivers to display patterns and colors Build projects that make use of light, temperature, and touch sensors Configure devices to create Wi-Fi access points and use network modules to scan and connect to existing networks Use Pulse Width Modulation to control DC motors and servos Build an IoT device to display live weather data from the Internet at the touch of a button Who this book is for If you want to build and program projects that use microcontrollers, this book will offer you dozens of recipes to guide you through all the major applications o...
    Note: Online resource; Title from title page (viewed May 21, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838649951/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Machine Learning for Finance (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789136364
    Language: English
    Pages: 1 online resource (456 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine learning and how to put them to work in financial industries Clear explanation and expert discussion of how machine learning works, with an emphasis on financial applications Deep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learning Book Description Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself. The book is based on Jannes Klaas' experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on the advanced ML concepts and ideas that can be applied in a wide variety of ways. The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming. What you will learn Apply machine learning to structured data, natural language, photographs, and written text How machine learning can detect fraud, forecast financial trends, analyze customer sentiments, and more Implement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlow Dig deep into neural networks, examine uses of GANs and reinforcement learning Debug machine learning applications and prepare them for launch Address bias and privacy concerns in machine learning Who this book is for This book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes college-level knowledge of math and statistics. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-for-Finance . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title page (viewed May 30, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Machine Learning with Python for Everyone (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (353 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
    Note: Online resource; Title from title page (viewed August 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780134845708/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Learning Elastic Stack 7.0 - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (474 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0 Key Features Gain access to new features and updates introduced in Elastic Stack 7.0 Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Explore useful tips for using Elastic Cloud and deploying Elastic Stack in production environments Book Description The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems. What you will learn Install and configure an Elasticsearch architecture Solve the full-text search problem with Elasticsearch Discover powerful analytics capabilities through aggregations using Elasticsearch Build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis Create interactive dashboards for effective storytelling with your data using Kibana Secure, monitor, and use Elastic Stack’s alerting and reporting capabilities Take applications to an on-premise or cloud-based production environment with Elastic Stack Who this book is for This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and understand how the real-time processing and search engine works for business ana...
    Note: Online resource; Title from title page (viewed May 31, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789954395/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 7
    Online Resource
    Online Resource
    Hands-On Q-Learning with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (212 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Leverage the power of reward-based training for your deep learning models with Python Key Features Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP) Study practical deep reinforcement learning using Q-Networks Explore state-based unsupervised learning for machine learning models Book Description Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you become familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in scientific research. Toward the end, you’ll gain insight into what’s in store for reinforcement learning. By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow. What you will learn Explore the fundamentals of reinforcement learning and the state-action-reward process Understand Markov decision processes Get well-versed with libraries such as Keras, and TensorFlow Create and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI Gym Choose and optimize a Q-network’s learning parameters and fine-tune its performance Discover real-world applications and use cases of Q-learning Who this book is for If you are a machine learning developer, engineer, or professional who wants to explore the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Q-Learning-with-Pyt...
    Note: Online resource; Title from title page (viewed April 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789345803/?ar
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  • 8
    Online Resource
    Online Resource
    Hands-On Generative Adversarial Networks with Keras (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (272 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Develop generative models for a variety of real-world use cases and deploy them to production Key Features Discover various GAN architectures using a Python and Keras library Understand how GAN models function with the help of theoretical and practical examples Apply your learnings to become an active contributor to open source GAN applications Book Description Generative Adversarial Networks (GANs) have revolutionized the fields of machine learning and deep learning. This book will be your first step toward understanding GAN architectures and tackling the challenges involved in training them. This book opens with an introduction to deep learning and generative models and their applications in artificial intelligence (AI). You will then learn how to build, evaluate, and improve your first GAN with the help of easy-to-follow examples. The next few chapters will guide you through training a GAN model to produce and improve high-resolution images. You will also learn how to implement conditional GANs that enable you to control characteristics of GAN output. You will build on your knowledge further by exploring a new training methodology for progressive growing of GANs. Moving on, you'll gain insights into state-of-the-art models in image synthesis, speech enhancement, and natural language generation using GANs. In addition to this, you'll be able to identify GAN samples with TequilaGAN. By the end of this book, you will be well-versed with the latest advancements in the GAN framework using various examples and datasets, and you will have developed the skills you need to implement GAN architectures for several tasks and domains, including computer vision, natural language processing (NLP), and audio processing. Foreword by Ting-Chun Wang, Senior Research Scientist, NVIDIA What you will learn Discover how GANs work and the advantages and challenges of working with them Control the output of GANs with the help of conditional GANs, using embedding and space manipulation Apply GANs to computer vision, natural language processing (NLP), and audio processing Understand how to implement progressive growing of GANs Use GANs for image synthesis and speech enhancement Explore the future of GANs in visual and sonic arts Implement pix2pixHD to turn semantic label maps into photorealistic images Who this book is for This book is for machine learning practitioners, deep learning researchers, and AI enthusiasts who are looking for a mix of theory and hands-on co...
    Note: Online resource; Title from title page (viewed May 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789538205/?ar
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  • 9
    Online Resource
    Online Resource
    Hands-On Network Programming with C (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (478 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to programming with network sockets, implementing Internet protocols, designing IoT devices, and much more with C Key Features Apply your C and C++ programming skills to build powerful network applications Get to grips with a variety of network protocols that allow you to load web pages, send emails, and do much more Write portable network code for Windows, Linux, and macOS Book Description Network programming enables processes to communicate with each other over a computer network, but it is a complex task that requires programming with multiple libraries and protocols. With its support for third-party libraries and structured documentation, C is an ideal language to write network programs. Complete with step-by-step explanations of essential concepts and practical examples, this C network programming book begins with the fundamentals of Internet Protocol, TCP, and UDP. You'll explore client-server and peer-to-peer models for information sharing and connectivity with remote computers. The book will also cover HTTP and HTTPS for communicating between your browser and website, and delve into hostname resolution with DNS, which is crucial to the functioning of the modern web. As you advance, you'll gain insights into asynchronous socket programming and streams, and explore debugging and error handling. Finally, you'll study network monitoring and implement security best practices. By the end of this book, you'll have experience of working with client-server applications and be able to implement new network programs in C. The code in this book is compatible with the older C99 version as well as the latest C18 and C++17 standards. You'll work with robust, reliable, and secure code that is portable across operating systems, including Winsock sockets for Windows and POSIX sockets for Linux and macOS. What you will learn Uncover cross-platform socket programming APIs Implement techniques for supporting IPv4 and IPv6 Understand how TCP and UDP connections work over IP Discover how hostname resolution and DNS work Interface with web APIs using HTTP and HTTPS Explore Simple Mail Transfer Protocol (SMTP) for electronic mail transmission Apply network programming to the Internet of Things (IoT) Who this book is for If you're a developer or a system administrator who wants to get started with network programming, this book is for you. Basic knowledge of C programming is assumed. Downloading the example code for this ebook: You can dow...
    Note: Online resource; Title from title page (viewed May 13, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789349863/?ar
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  • 10
    Online Resource
    Online Resource
    Hands-On Ensemble Learning with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (298 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Combine popular machine learning techniques to create ensemble models using Python Key Features Implement ensemble models using algorithms such as random forests and AdaBoost Apply boosting, bagging, and stacking ensemble methods to improve the prediction accuracy of your model Explore real-world data sets and practical examples coded in scikit-learn and Keras Book Description Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior predictive power. This book will demonstrate how you can use a variety of weak algorithms to make a strong predictive model. With its hands-on approach, you'll not only get up to speed with the basic theory but also the application of different ensemble learning techniques. Using examples and real-world datasets, you'll be able to produce better machine learning models to solve supervised learning problems such as classification and regression. In addition to this, you'll go on to leverage ensemble learning techniques such as clustering to produce unsupervised machine learning models. As you progress, the chapters will cover different machine learning algorithms that are widely used in the practical world to make predictions and classifications. You'll even get to grips with the use of Python libraries such as scikit-learn and Keras for implementing different ensemble models. By the end of this book, you will be well-versed in ensemble learning, and have the skills you need to understand which ensemble method is required for which problem, and successfully implement them in real-world scenarios. What you will learn Implement ensemble methods to generate models with high accuracy Overcome challenges such as bias and variance Explore machine learning algorithms to evaluate model performance Understand how to construct, evaluate, and apply ensemble models Analyze tweets in real time using Twitter's streaming API Use Keras to build an ensemble of neural networks for the MovieLens dataset Who this book is for This book is for data analysts, data scientists, machine learning engineers and other professionals who are looking to generate advanced models using ensemble techniques. An understanding of Python code and basic knowledge of statistics is required to make the most out of this book. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com...
    Note: Online resource; Title from title page (viewed July 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789612851/?ar
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  • 11
    Online Resource
    Online Resource
    Hands-On AWS Penetration Testing with Kali Linux (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789136722
    Language: English
    Pages: 1 online resource (508 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux Key Features Efficiently perform penetration testing techniques on your public cloud instances Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment Book Description The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward - and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art. This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, the book covers a large variety of AWS services that are often overlooked during a pentest - from serverless infrastructure to automated deployment pipelines. By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment. What you will learn Familiarize yourself with and pentest the most common external-facing AWS services Audit your own infrastructure and identify flaws, weaknesses, and loopholes Demonstrate the process of lateral and vertical movement through a partially compromised AWS account Maintain stealth and persistence within a compromised AWS account Master a hands-on approach to pentesting Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure Who this book is for If you are a security analyst or a penetration t...
    Note: Online resource; Title from title page (viewed April 30, 2019)
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Getting Started with Tableau 2019.2 - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (260 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage the power of Tableau 2019.2's new features to create impactful data visualization Key Features Discover the latest features of Tableau 2019.2 Create enterprise-grade dashboards and reports to communicate your insights effectively Get started with Tableau by understanding its core functionalities Book Description Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. The latest release, Tableau 2019.2, promises new and advanced features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2019.2 will get you up to speed with these additional functionalities. The book starts by highlighting the new functionalities of Tableau 2019.2, providing concrete examples of how to use them. However, if you're new to Tableau, you won't have to worry as the book also covers the major aspects of Tableau with relevant examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and even share data online. In the concluding chapters, you'll delve into advanced techniques such as creating a cross-database join and data blending. By the end of this book, you will be able to use Tableau effectively to create quick, cost-effective, and business-efficient Business Intelligence (BI) solutions. What you will learn Discover new functionalities such as 'Ask Data', the new way to interact with your data using natural language Connect tables and make transformations such as pivoting the field and splitting columns Build an efficient data source for analysis Design insightful data visualization using different mark types and properties Develop powerful dashboards and stories Share your work and interact with Tableau Server Use Tableau to explore your data and find new insights Explore Tableau's advanced features and gear up for upcoming challenges Who this book is for Existing Tableau users and BI professionals who want to get up to speed with what's new in Tableau 2019 will find this beginner-level book to be a very useful resource. Some experience of Tableau is assumed, however, the book also features introductory concepts, which even beginners can take advantage of. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Getting-Started-with-Tableau-2019.2 . If you ...
    Note: Online resource; Title from title page (viewed June 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838553067/?ar
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  • 13
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    Online Resource
    Getting Started with Containerization (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (736 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Choose the smarter way to learn about containerizing your applications and running them in production. Key Features Deploy and manage highly scalable, containerized applications with Kubernetes Build high-availability Kubernetes clusters Secure your applications via encapsulation, networks, and secrets Book Description Kubernetes is an open source orchestration platform for managing containers in a cluster environment. This Learning Path introduces you to the world of containerization, in addition to providing you with an overview of Docker fundamentals. As you progress, you will be able to understand how Kubernetes works with containers. Starting with creating Kubernetes clusters and running applications with proper authentication and authorization, you'll learn how to create high-availability Kubernetes clusters on Amazon Web Services (AWS), and also learn how to use kubeconfig to manage different clusters. Whether it is learning about Docker containers and Docker Compose, or building a continuous delivery pipeline for your application, this Learning Path will equip you with all the right tools and techniques to get started with containerization. By the end of this Learning Path, you will have gained hands-on experience of working with Docker containers and orchestrators, including SwarmKit and Kubernetes. This Learning Path includes content from the following Packt products: Kubernetes Cookbook - Second Edition by Hideto Saito, Hui-Chuan Chloe Lee, and Ke-Jou Carol Hsu Learn Docker - Fundamentals of Docker 18.x by Gabriel N. Schenker What you will learn Build your own container cluster Run a highly distributed application with Docker Swarm or Kubernetes Update or rollback a distributed application with zero downtime Containerize your traditional or microservice-based application Build a continuous delivery pipeline for your application Track metrics and logs for every container in your cluster Implement container orchestration to streamline deploying and managing applications Who this book is for This beginner-level Learning Path is designed for system administrators, operations engineers, DevOps engineers, and developers who want to get started with Docker and Kubernetes. Although no prior experience with Docker is required, basic knowledge of Kubernetes and containers will be helpful.
    Note: Online resource; Title from title page (viewed March 27, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838645700/?ar
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  • 14
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    Flask Framework Cookbook - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (302 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Build state-of-the-art web applications quickly and efficiently using Flask and related technologies with Python 3 Key Features Explore Flask 1.0.3 and Python 3.7, along with useful insights into microservices Get the most out of the powerful Flask framework and maintain the flexibility of your design choices Write cleaner and maintainable code with the help of sample apps Book Description Flask, the lightweight Python web framework, is popular thanks to its powerful modular design that lets you build scalable web apps. With this recipe-based guide, you’ll explore modern solutions and best practices for Flask web development. Updated to the latest version of Flask and Python 3, this second edition of Flask Framework Cookbook moves away from some of the old and obsolete libraries and introduces new recipes on cutting-edge technologies. You’ll discover different ways of using Flask to create, deploy, and manage microservices. This Flask Python book starts by covering the different configurations that a Flask application can make use of, and then helps you work with templates and learn about the ORM and view layers. You’ll also be able to write an admin interface and get to grips with debugging and logging errors. Finally, you’ll learn a variety of deployment and post-deployment techniques for platforms such as Apache, Tornado, and Heroku. By the end of this book, you’ll have gained all the knowledge you need to confidently write Flask applications and scale them using standard industry practices. What you will learn Explore web application development in Flask, right from installation to post-deployment stages Make use of advanced templating and data modeling techniques Discover effective debugging, logging, and error handling techniques in Flask Integrate Flask with different technologies such as Redis, Sentry, and MongoDB Deploy and package Flask applications with Docker and Kubernetes Design scalable microservice architecture using AWS Lambda continuous integration and continuous deployment Who this book is for If you are a web developer who wants to learn more about developing scalable and production-ready applications in Flask, this is the book for you. You’ll also find this book useful if you are already aware of Flask's major extensions and want to use them for better application development. Basic Python programming experience along with basic understanding of Flask is assumed. Downloading the example code for this ebook: You can downloa...
    Note: Online resource; Title from title page (viewed July 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789951295/?ar
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  • 15
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    Expert Python Programming - Third Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (646 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Refine your Python programming skills and build professional-grade applications with this comprehensive guide Key Features Create manageable code that can run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to write optimized code Discover the exciting new features of Python 3.7 Book Description Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You'll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code. What you will learn Explore modern ways of setting up repeatable and consistent development environments Package Python code effectively for community and production use Learn modern syntax elements of Python programming such as f-strings, enums, and lambda functions Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Extend and integrate Python with code written in different languages Who this book is for This book will appeal to you if you're a programmer looking to take your Python knowledge to the next level by writing efficient code and learning the latest features of version 3.7 and above. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Expert-Python-Programming-Third-Edi...
    Note: Online resource; Title from title page (viewed April 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789808896/?ar
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  • 16
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    Docker High Performance - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (174 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage Docker to unlock efficient and rapid container deployments to improve your development workflow Key Features Reconfigure Docker hosts to create a logging system with the ElasticSearch-Logstash-Kibana (ELK) stack Tackle the challenges of large-scale container deployment with this fast-paced guide Benchmark the performance of your Docker containers using Apache JMeter Book Description Docker is an enterprise-grade container platform that allows you to build and deploy your apps. Its portable format lets you run your code right from your desktop workstations to popular cloud computing providers. This comprehensive guide will improve your Docker workflows and ensure your application's production environment runs smoothly. This book starts with a refresher on setting up and running Docker and details the basic setup for creating a Docker Swarm cluster. You will then learn how to automate this cluster by using the Chef server and cookbooks. After that, you will run the Docker monitoring system with Prometheus and Grafana, and deploy the ELK stack. You will also learn some tips for optimizing Docker images. After deploying containers with the help of Jenkins, you will then move on to a tutorial on using Apache JMeter to analyze your application's performance. You will learn how to use Docker Swarm and NGINX to load-balance your application and how common debugging tools in Linux can be used to troubleshoot Docker containers. By the end of this book, you will be able to integrate all the optimizations that you have learned and put everything into practice in your applications. What you will learn Automate provisioning and setting up nodes in a Docker Swarm cluster Configure a monitoring system with Prometheus and Grafana Use Apache JMeter to create workloads for benchmarking the performance of Docker containers Understand how to load-balance an application with Docker Swarm and Nginx Deploy strace, tcdump, blktrace, and other Linux debugging tools to troubleshoot containers Integrate Docker optimizations for DevOps, Site Reliability Engineering, CI, and CD Who this book is for If you are a software developer with a good understanding of managing Docker services and the Linux file system and are looking for ways to optimize working with Docker containers, then this is the book for you. Developers fascinated with containers and workflow automation with benefit from this book. Downloading the example code for this ebook: You can download the exa...
    Note: Online resource; Title from title page (viewed April 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789807219/?ar
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  • 17
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    Data Science with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (426 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Leverage the power of the Python data science libraries and advanced machine learning techniques to analyse large unstructured datasets and predict the occurrence of a particular future event. Key Features Explore the depths of data science, from data collection through to visualization Learn pandas, scikit-learn, and Matplotlib in detail Study various data science algorithms using real-world datasets Book Description Data Science with Python begins by introducing you to data science and teaches you to install the packages you need to create a data science coding environment. You will learn three major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. You will also explore basic classification and regression techniques, such as support vector machines, decision trees, and logistic regression. As you make your way through chapters, you will study the basic functions, data structures, and syntax of the Python language that are used to handle large datasets with ease. You will learn about NumPy and pandas libraries for matrix calculations and data manipulation, study how to use Matplotlib to create highly customizable visualizations, and apply the boosting algorithm XGBoost to make predictions. In the concluding chapters, you will explore convolutional neural networks (CNNs), deep learning algorithms used to predict what is in an image. You will also understand how to feed human sentences to a neural network, make the model process contextual information, and create human language processing systems to predict the outcome. By the end of this book, you will be able to understand and implement any new data science algorithm and have the confidence to experiment with tools or libraries other than those covered in the book. What you will learn Pre-process data to make it ready to use for machine learning Create data visualizations with Matplotlib Use scikit-learn to perform dimension reduction using principal component analysis (PCA) Solve classification and regression problems Get predictions using the XGBoost library Process images and create machine learning models to decode them Process human language for prediction and classification Use TensorBoard to monitor training metrics in real time Find the best hyperparameters for your model with AutoML Who this book is for Data Science with Python is designed for data analysts, data scientists, database engineers, and business analysts who want to m...
    Note: Online resource; Title from title page (viewed July 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838552862/?ar
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  • 18
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    CompTIA A+ Practice Questions Exam Cram Core 1 (220-1001) and Core 2 (220-1002) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    ISBN: 9780135598122 , 0135598125
    Language: English
    Pages: 1 online resource (288 pages)
    Edition: 1st edition
    Series Statement: Exam cram
    Keywords: Computing Technology Industry Association Study guides Examinations ; Microcomputers Study guides Maintenance and repair ; Examinations ; Computer technicians Study guides Certification ; Electronic books ; local ; Computing Technology Industry Association ; Micro-ordinateurs ; Entretien et réparations ; Examens ; Guides de l'étudiant ; Computer technicians ; Certification ; Examinations ; Microcomputers ; Maintenance and repair ; Examinations ; Electronic books ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: CompTIA A+ Practice Questions Exam Cram Core 1 (220-1001) and Core 2 (220-1002) complements any A+ study plan with 480 practice test questions in the book plus two bonus exams on the companion website–all supported by complete explanations of every answer. This package's highly realistic questions cover every area of knowledge for both new A+ exams: 220-1001 and 220-1002. Covers the critical information you'll need to know to score higher on your A+ 220-1001 and 220-1002 exams Features 480 questions presented as three full, realistic practice exams for each A+ certification test: both 220-1001 and 220-1002\ Includes a detailed answer explanation for every question Addresses all objectives for the 220-1001 and 220-1002 A+ exams, so you can easily assess your knowledge of every topic
    Note: Online resource; Title from title page (viewed October 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780135598122/?ar
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  • 19
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    Certified Ethical Hacker (CEH), 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 36 min.)
    Edition: 2nd edition
    Series Statement: LiveLessons
    Keywords: Computer security Study guides Examinations ; Penetration testing (Computer security) Study guides Examinations ; Hacking Study guides Examinations ; Computer networks Study guides Security measures ; Examinations ; Electronic data processing personnel Certification ; Electronic videos ; local ; Sécurité informatique ; Examens ; Guides de l'étudiant ; Tests d'intrusion ; Examens ; Guides de l'étudiant ; Piratage informatique ; Examens ; Guides de l'étudiant ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Examens ; Guides de l'étudiant ; Computer networks ; Security measures ; Examinations ; Computer security ; Examinations ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: 18+ Hours of Video Instruction Learn everything you need to know to pass the Certified Ethical Hacker exam. Overview Certified Ethical Hacker (CEH) Complete Video Course provides a complete overview of the topics contained in the EC-Council Blueprint for the CEH exam. With 5 modules containing more than 18 hours of training, this course covers all concepts in the objectives so you can master the knowledge you need to pass the exam. Build your ethical hacking skills with the foundations of reconnaissance, footprinting, enumeration, and vulnerability analysis and dive into hacking web servers, applications, wireless networks, IoT devices, and mobile platforms. Veteran security experts Omar Santos, Nick Garner, and Bo Rothwell provide a thorough foundation through demos and best practices for security risk analysis, as well as hacking tools and methods. With this knowledge, you will be able to confidently mitigate and help guard your network from the multifaceted attacks that you will encounter while also preparing you to pass the CEH exam. Regardless of your level of experience, this video course explores all sides of a multi-pronged cybersecurity attack to ensure that you are prepared to combat attack threats. About the Instructors Omar Santos is an active member of the cybersecurity community, where he leads several industry-wide initiatives and standards bodies. He is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers and incident managers during the investigation and resolution of cyber security vulnerabilities. He is the author of several cybersecurity books and video courses. You can obtain additional information about Omar’s projects at omarsantos.io and h4cker.org. Nick Garner , CCIE No. 17871, is a solutions integration architect for Cisco Systems. He has been in Cisco Advanced Services supporting customers in both transactional and subscription engagements for 8 years. In his primary role, he has deployed and supported large-scale data center designs for prominent clients in the San Francisco Bay area. His primary technical focus outside of data center routing and switching designs is security and multicast. William “Bo” Rothwell has a passion for understanding how computers work and sharing this knowledge with others has resulted in a rewarding career in IT training. His experience includes Linux, Unix, and programming languages such as Perl, Python, Tcl, and BASH. H...
    Note: Online resource; Title from title screen (viewed July 10, 2019)
    URL: lizenzpflichtig
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  • 20
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    Certified Blockchain Developer--Hyperledger Fabric (CBDH) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 7+ Hours of Video Instruction Overview More than 7 hours of video instruction to prepare you to pass the Certified Blockchain Developer—Hyperledger Fabric (CBDH) exam and develop your skills in the emerging and in-demand blockchain arena. Overview In Certified Blockchain Developer—Hyperledger Fabric (CBDH) Complete Video Course , seasoned IT veteran and current blockchain subject matter expert, Joseph Holbrook, provides an in-depth exploration of developing blockchain solutions, which are quickly becoming the de facto, decentralized method for verifying and tracking cryptocurrency and other digital transactions. While the primary objective of this LiveLessons video course is to provide you with all of the information you need to prepare for and pass the Blockchain Training Alliance CBDH exam, the course also delves into planning and preparing production-ready applications for the Hyperledger blockchain; learning how to work effectively with blockchain engineers and technical leaders; select appropriate Hyperledger blockchain systems for various use cases; and write, test, and deploy secure chain code. Whether you are seeking to gain the CBDH certification or simply looking to enhance your blockchain development skills, Joseph Holbrook’s instruction through deep-dive discussion, whiteboarding analysis, and practical demos will ensure that you boost your confidence and skills in working with this burgeoning disruptor approach to digital transactions. The Certified Blockchain Solution Architect (CBDH) exam is an elite way to demonstrate your knowledge and skills in this emerging space. Additionally, you will become a member of a community of Blockchain leaders. About the Instructor Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a US Navy flagship. He has migrated from UNIX world to Storage Area Networking (SAN) and Enterprise Virtualization and Cloud Architectures and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf. He also has been a published course author on Linkedin Learning, Udemy.com, INE.com and Pearson Safari. He is also author of a new book due to be released in early 2019 on “Architecting Enterprise Blockchain Solutions” Currently he is a recognized industry expert specializing in Enterprise Cloud and Blockchain Technologies. He...
    Note: Online resource; Title from title screen (viewed January 28, 2019)
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  • 21
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    BPF Performance Tools (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (693 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Gregg, Brendan BPF performance tools
    RVK:
    ST 261
    Keywords: Electronic books ; local ; LINUX
    Abstract: BPF and related observability tools give software professionals unprecedented visibility into software, helping them analyze operating system and application performance, troubleshoot code, and strengthen security. BPF Performance Tools: Linux System and Application Observability is the industry's most comprehensive guide to using these tools for observability. Brendan Gregg, author of the industry's definitive guide to system performance, introduces powerful new methods and tools for doing analysis that leads to more robust, reliable, and safer code. This authoritative guide: Explores a wide spectrum of software and hardware targets Thoroughly covers open source BPF tools from the Linux Foundation iovisor project's bcc and bpftrace repositories Summarizes performance engineering and kernel internals you need to understand Provides and discusses 150+ bpftrace tools, including 80 written specifically for this book: tools you can run as-is, without programming — or customize and develop further, using diverse interfaces and the bpftrace front-end You'll learn how to use BPF (eBPF) tracing tools to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the Linux kernel. You'll move from basic to advanced tools and techniques, producing new metrics, stack traces, custom latency histograms, and more. It's like having a superpower: with Gregg's guidance and tools, you can analyze virtually everything that impacts system performance, so you can improve virtually any Linux operating system or application.
    Note: Online resource; Title from title page (viewed November 6, 2019)
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  • 22
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    AWS Certified Big Data Specialty 2019 - In Depth and Hands On! (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838983383
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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    What's New in TensorFlow 2.0 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (202 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with key structural changes in TensorFlow 2.0 Key Features Explore TF Keras APIs and strategies to run GPUs, TPUs, and compatible APIs across the TensorFlow ecosystem Learn and implement best practices for building data ingestion pipelines using TF 2.0 APIs Migrate your existing code from TensorFlow 1.x to TensorFlow 2.0 seamlessly Book Description TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features. What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis. By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly. What you will learn Implement tf.keras APIs in TF 2.0 to build, train, and deploy production-grade models Build models with Keras integration and eager execution Explore distribution strategies to run models on GPUs and TPUs Perform what-if analysis with TensorBoard across a variety of models Discover Vision Kit, Voice Kit, and the Edge TPU for model deployments Build complex input data pipelines for ingesting large training datasets Who this book is for If you're a data scientist, machine learning practitioner, deep learning researcher, or AI enthusiast who wants to migrate code to TensorFlow 2.0 and explore the latest features of TensorFlow 2.0, this book is for you. Prior experience with TensorFlow and Python programming is necessary to understand the concepts covered in the book. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub ...
    Note: Online resource; Title from title page (viewed August 12, 2019)
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    VMware vSphere 6.7 Cookbook - Fourth Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (570 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Proven, actionable ways to install, manage, secure and monitor your vSphere 6.7 environments Key Features Get up to speed with the installation and life cycle management of a vSphere 6.7 environment, using a task-based approach Secure your vSphere environment using SSL Certificates Get introduced to the tools that are used to monitor the performance of the vSphere Environment Book Description VMware vSphere is the most comprehensive core suite of SDDC solutions on the market. It helps transform data centers into simplified on-premises private cloud infrastructures. This edition of the book focuses on the latest version, vSphere 6.7. The books starts with chapters covering the greenfield deployment of vSphere 6.7 components and the upgrade of existing vSphere components to 6.7. You will then learn how to configure storage and network access for a vSphere environment. Get to grips with optimizing your vSphere environment for resource distribution and utilization using features such as DRS and DPM, along with enabling high availability for vSphere components using vSphere HA, VMware FT, and VCHA. Then, you will learn how to facilitate large-scale deployment of stateless/stateful ESXi hosts using Auto Deploy. Finally, you will explore how to upgrade/patch a vSphere environment using vSphere Update Manager, secure it using SSL certificates, and then monitor its performance with tools such as vSphere Performance Charts and esxtop. By the end of this book, you'll be well versed in the core functionalities of vSphere 6.7 and be able to effectively deploy, manage, secure, and monitor your environment. What you will learn Deploy a new vSphere 6.7 environment or upgrade an existing vSphere environment to version 6.7 Learn how to configure and manage storage and network access for a vSphere environment Enable high availability for Hosts, VMs and vCenter Server Optimize your vSphere environment for resource distribution/utilization Patch or upgrade a vSphere environment using vSphere Update Manager Secure vSphere infrastructure components using SSL certificates Effectively monitor the performance of your vSphere environment Who this book is for If you are a systems administrator, support engineer, or anyone who wants to learn how to install, configure, and manage a vSphere environment in a quick, hands-on manner, then this book is for you. Consultants and infrastructure architects who wish to design and deploy vSphere 6.7 environments will also find this b...
    Note: Online resource; Title from title page (viewed August 30, 2019)
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  • 25
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    The Complete Apache Groovy Developer Course (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217876
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to program using Apache Groovy. About This Video Covered topics are in-depth and very easy to follow for anyone with some prior Java experience. This course builds a good baseline for development in Groovy. The less technical background lectures promote a deeper understanding of Groovy as a language. In Detail Are you looking to learn a new language? Learning a new language helps expand your skillset as a developer and make you more marketable to employers. If you aren't learning a new language because it's not the one you use at work, the author thinks you are missing out on the benefits. He often finds that seeing how other languages solve problems makes me a better developer with the languages he uses on a day to day basis. He is here to tell you all about an awesome dynamic language called Apache Groovy. What is Apache Groovy? Apache Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities for the Java platform, aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime, and compile-time meta-programming and functional programming. Who Should Learn Apache Groovy? He is going to teach you everything you need to know to start using the Groovy programming language. This course is really designed for 2 different types of people and he think's you will both benefit from it. If you’re a beginner programmer with a some experience in another language like Python or Ruby, this course is for you. Dynamic languages are generally thought of as easier for total beginners to learn because they’re flexible and fun. If you’re an existing Java Developer (Beginner or Experienced), this course is also for you. You will learn Groovy compliments the Java language and makes some of the complex tasks from Java concise and easy. Enroll Today! He has spent a lot of time putting together what he think's is the most complete course on Groovy on the market today. Please take the time to watch the preview videos and if you like what you see, click that enroll button and the author will see you inside!
    Note: Online resource; Title from title screen (viewed October 18, 2019)
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    Salesforce Certified Administrator - Revision Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838550813
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Gain the confidence and proficiency to take up the Salesforce Certified Administrator exam About This Video Powerful combination of theory and hands-on guidance through the Salesforce platform Training content is broken down into bitesize videos that can be re-used as reference videos after your certification Extensive inclusion of Trailhead modules and projects to increase your hands-on experience and learning In Detail Salesforce is a fast-growing business solution suite, constantly improving and adding new functionality to its features. This course will serve as a key guide to help you in your certification journey by covering all the topics to help you update your skills and acquire in-depth knowledge of the Salesforce platform. This course will enable you to sharpen your problem-solving skills and strengthen your knowledge of key topics in a practical way and is ideal for administrators at all levels (new and experienced). Every section will cover a module/topic which will be part of the certification. You will also review some example/mock questions that are highly likely to be asked in the certification exam. After covering basics such navigating the Salesforce environment and application and getting your organization ready for users, you will start by setting up and managing user types and profiles. You will cover data and security and also move on to maintaining and customizing Sales Cloud and Service Cloud apps. You will learn how to build reports and dashboards to maximize the look and feel of the application and to enhance user experience. You will set up workflows for automation and manage the support process. You will also look at the configuration, data management, data analytics, and mobile administration. You will cover techniques to enhance your system management efficiently. By the end of this comprehensive course, you will be confident and proficient in your skills and will be all set to take up and succeed at your Salesforce Certified Administrator exam.
    Note: Online resource; Title from title screen (viewed July 19, 2019)
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    Reinforcement Learning Algorithms with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (366 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key Features Learn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasks Understand and develop model-free and model-based algorithms for building self-learning agents Work with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution strategies Book Description Reinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements. This book will help you master RL algorithms and understand their implementation as you build self-learning agents. Starting with an introduction to the tools, libraries, and setup needed to work in the RL environment, this book covers the building blocks of RL and delves into value-based methods, such as the application of Q-learning and SARSA algorithms. You'll learn how to use a combination of Q-learning and neural networks to solve complex problems. Furthermore, you'll study the policy gradient methods, TRPO, and PPO, to improve performance and stability, before moving on to the DDPG and TD3 deterministic algorithms. This book also covers how imitation learning techniques work and how Dagger can teach an agent to drive. You'll discover evolutionary strategies and black-box optimization techniques, and see how they can improve RL algorithms. Finally, you'll get to grips with exploration approaches, such as UCB and UCB1, and develop a meta-algorithm called ESBAS. By the end of the book, you'll have worked with key RL algorithms to overcome challenges in real-world applications, and be part of the RL research community. What you will learn Develop an agent to play CartPole using the OpenAI Gym interface Discover the model-based reinforcement learning paradigm Solve the Frozen Lake problem with dynamic programming Explore Q-learning and SARSA with a view to playing a taxi game Apply Deep Q-Networks (DQNs) to Atari games using Gym Study policy gradient algorithms, including Actor-Critic and REINFORCE Understand and apply PPO and TRPO in continuous locomotion environments Get to grips with evolution strategies for solving the lunar lander problem Who this book is for If you are an AI researcher, deep learning user, or anyone who wants to learn reinforcement learning from scratch, this book is for you. You'll al...
    Note: Online resource; Title from title page (viewed October 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789131116/?ar
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    Python GUI Programming Cookbook - Third Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (486 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Over 90 recipes to help you develop widgets, forms, layouts, charts, and much more using the latest features of Python 3 Key Features Use object-oriented programming to develop impressive GUIs in Python Create interesting charts to visually represent data using Matplotlib Develop GUIs with the latest versions of tkinter, PyQt5, and wxPython frameworks Book Description Python is a multi-domain, interpreted programming language that is easy to learn and implement. With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python. This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code. Every recipe in this book builds upon the last to create an entire, real-life GUI application. These recipes also help you solve problems that you might encounter while developing GUIs. This book mainly focuses on using Python's built-in tkinter GUI framework. You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming (OOP). As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI. You'll also learn how to use threading to ensure that your GUI doesn't become unresponsive. Toward the end, you'll learn about the versatile PyQt GUI framework, which comes along with its own visual editor that allows you to design GUIs using drag and drop features. By the end of the book, you'll be an expert in designing Python GUIs and be able to develop a variety of GUI applications with ease. What you will learn Create amazing GUIs with Python's built-in tkinter module Customize GUIs using layout managers to arrange GUI widgets Advance from the typical waterfall coding style to an OOP style using Python Develop beautiful charts using the free Matplotlib Python module Use threading in a networked environment to make GUIs responsive Discover ways to connect GUIs to a MySQL database Understand how unit tests can be created and internationalize GUI Delve into the world of GUI creation using PyQt5 Who this book is for If you're a programmer or developer looking to enhance your Python skills by writing powerful GUI applications, this book is for you. Familiarity with the Python programming language is necessary to get the most out of the book. Downloading the examp...
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838827540/?ar
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    Professional JavaScript (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (664 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Develop your JavaScript programming skills by learning strategies and techniques commonly used in modern full-stack application development Key Features Write and deploy full-stack applications efficiently with JavaScript Delve into JavaScript's multiple programming paradigms Get up to speed with core concepts such as modularity and functional programming to write efficient code Book Description In depth knowledge of JavaScript makes it easier to learn a variety of other frameworks, including React, Angular, and related tools and libraries. This book is designed to help you cover the core JavaScript concepts you need to build modern applications. You'll start by learning how to represent an HTML document in the Document Object Model (DOM). Then, you'll combine your knowledge of the DOM and Node.js to create a web scraper for practical situations. As you read through further lessons, you'll create a Node.js-based RESTful API using the Express library for Node.js. You'll also understand how modular designs can be used for better reusability and collaboration with multiple developers on a single project. Later lessons will guide you through building unit tests, which ensure that the core functionality of your program is not affected over time. The book will also demonstrate how constructors, async/await, and events can load your applications quickly and efficiently. Finally, you'll gain useful insights into functional programming concepts such as immutability, pure functions, and higher-order functions. By the end of this book, you'll have the skills you need to tackle any real-world JavaScript development problem using a modern JavaScript approach, both for the client and server sides. What you will learn Apply the core concepts of functional programming Build a Node.js project that uses the Express.js library to host an API Create unit tests for a Node.js project to validate it Use the Cheerio library with Node.js to create a basic web scraper Develop a React interface to build processing flows Use callbacks as a basic way to bring control back Who this book is for If you want to advance from being a frontend developer to a full-stack developer and learn how Node.js can be used for hosting full-stack applications, this is an ideal book for you. After reading this book, you'll be able to write better JavaScript code and learn about the latest trends in the language. To easily grasp the concepts explained here, you should know the basic syntax of...
    Note: Online resource; Title from title page (viewed September 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838820213/?ar
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    Modern Web Design Patterns in Angular 8 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789612813
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: An overview of enterprise-ready, modern web development with examples showing popular Angular concepts and strategies About This Video Addresses the challenges you'll meet transitioning to TypeScript from JavaScript Learn key Angular concepts so that you can develop your own powerful web apps Confidently build your own website using Angular and apply what you've learned to practical web development projects In Detail Angular is one of the largest and most widely used frameworks for front-end and full-stack web development; the Angular community is very eager to get hands-on with its latest features. Design patterns allow for a structured and more intuitive way to build applications that are modular, highly scalable and fault-tolerant. This course will serve as a practical and insightful journey through the most valuable design patterns in use, and provides clear guidance on how to use them effectively in Angular. You will explore the best ways to work with Angular and how to use it to achieve the stability and performance required in today's web development world. You'll get to know best practices to improve your productivity and your application's code base. By the end, you’ll be capable using Angular 8 (and future versions) to build better applications that are scalable and high-performing.
    Note: Online resource; Title from title screen (viewed June 26, 2019)
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    Mastering Blockchain Programming with Solidity (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (486 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover the advanced features of Solidity that will help you write high-quality code and develop secure smart contracts with the latest ERC standards Key Features Delve into Solidity and understand control structures, function calls, and variable scopes Explore tools for developing, testing, and debugging your blockchain applications Learn advanced design patterns and best practices for writing secure smart contracts Book Description Solidity is among the most popular and contract-oriented programming languages used for writing decentralized applications (DApps) on Ethereum blockchain. If you're looking to perfect your skills in writing professional-grade smart contracts using Solidity, this book can help. You will get started with a detailed introduction to blockchain, smart contracts, and Ethereum, while also gaining useful insights into the Solidity programming language. A dedicated section will then take you through the different Ethereum Request for Comments (ERC) standards, including ERC-20, ERC-223, and ERC-721, and demonstrate how you can choose among these standards while writing smart contracts. As you approach later chapters, you will cover the different smart contracts available for use in libraries such as OpenZeppelin. You'll also learn to use different open source tools to test, review and improve the quality of your code and make it production-ready. Toward the end of this book, you'll get to grips with techniques such as adding security to smart contracts, and gain insights into various security considerations. By the end of this book, you will have the skills you need to write secure, production-ready smart contracts in Solidity from scratch for decentralized applications on Ethereum blockchain. What you will learn Test and debug smart contracts with Truffle, Ganache, Remix, and MetaMask Gain insights into maintaining code quality with different tools Get up to speed with ERC standards such as ERC-20 and ERC-721 Become adept at using design patterns while writing smart contracts Use MultiSignature (MultiSig) wallets and improve the security of contracts Use Oracle services to fetch information from outside the blockchain Who this book is for This book is for developers and data scientists who want to learn Ethereum, blockchain, and Solidity to write smart contracts and develop production-ready code. Basic knowledge of Solidity is assumed. Downloading the example code for this ebook: You can download the example code files fo...
    Note: Online resource; Title from title page (viewed August 2, 2019)
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    Mastering Adobe Photoshop Elements (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (502 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Become a professional photo editor and bring your ideas to life with Photoshop Elements 2019 Key Features Improve your pictures with easy-to-follow techniques that help you make simple, fast and effective edits Understand how to animate and add multiple layers to your images Master the Photoshop Elements user interface (UI) with real-life examples Book Description Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Though it shares many of Photoshop CC's high-end features, it also boasts a significant number of simple to use, yet highly effective tools not found at the professional level. This book presents the complexities of image editing in easy-to-follow, bite-sized chunks, allowing you to quickly recognize the editing challenge, and helps you to identify the tools and techniques required to make improvements, and to apply those techniques quickly and efficiently. You will start by learning how to import, organize, manage, edit, and use your pictures in a format that's designed for creative photography projects. Going further, you'll discover how to fix a wide range of photographic problems based on the book's extensive repertoire of commonly applied solutions. You'll be escorted through a wide range of common processes that include applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods. Towards the end of the book, you will understand what the most important tools and features actually do in Photoshop Elements, answering the often-asked question; What, when, and where would you use these features in a precise and practical way. What you will learn Understand the latest Photoshop tools to add life to your photos Add graphic elements to any composition, photograph, or illustration Tackle challenges in editing multi-layered images for your photography projects Develop illustrative skills with Photoshop Elements' variety of drawing tools Understand techniques for professional photo retouching Work with online and local templates to create calendars, greeting cards, and other projects Who this book is for This book is for photographers, creative professionals, and individuals who want to master image editing for publishing, press, and web formats with Adobe's Photoshop Elements. Professionals who are looking to become accomplished image retouchers will also find the book helpful. Photography skills al...
    Note: Online resource; Title from title page (viewed August 26, 2019)
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    Learn Wireshark (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Grasp the basics of packet capture and analyze common protocols Key Features Troubleshoot basic to advanced network problems using packet analysis Analyze common protocols and identify latency issues with Wireshark Explore ways to examine captures to recognize unusual traffic and possible network attacks Book Description Wireshark is a popular and powerful packet analysis tool that helps network administrators investigate latency issues and identify potential attacks. Learn Wireshark provides a solid overview of basic protocol analysis and helps you to navigate the Wireshark interface, so you can confidently examine common protocols such as TCP, IP, and ICMP. The book starts by outlining the benefits of traffic analysis, takes you through the evolution of Wireshark, and then covers the phases of packet analysis. We'll review some of the command line tools and outline how to download and install Wireshark on either a PC or MAC. You'll gain a better understanding of what happens when you tap into the data stream, and learn how to personalize the Wireshark interface. This Wireshark book compares the display and capture filters and summarizes the OSI model and data encapsulation. You'll gain insights into the protocols that move data in the TCP/IP suite, and dissect the TCP handshake and teardown process. As you advance, you'll explore ways to troubleshoot network latency issues, and discover how to save and export files. Finally, you'll see how you can share captures with your colleagues using Cloudshark. By the end of this book, you'll have a solid understanding of how to monitor and secure your network with the most updated version of Wireshark. What you will learn Become familiar with the Wireshark interface Navigate commonly accessed menu options such as edit, view, and file Use display and capture filters to examine traffic Understand the Open Systems Interconnection (OSI) model Carry out deep packet analysis of the Internet suite: IP, TCP, UDP, ARP, and ICMP Explore ways to troubleshoot network latency issues Subset traffic, insert comments, save, export, and share packet captures Who this book is for This book is for network administrators, security analysts, students, teachers, and anyone interested in learning about packet analysis using Wireshark. Basic knowledge of network fundamentals, devices, and protocols along with an understanding of different topologies will be beneficial.
    Note: Online resource; Title from title page (viewed August 23, 2019)
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    Learn Power BI (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (362 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Solve business challenges with Microsoft Power BI's advanced visualization and data analysis techniques Key Features Create effective storytelling reports by implementing simple-to-intermediate Power BI features Develop powerful analytical models to extract key insights for changing business needs Build, publish, and share impressive dashboards for your organization Book Description To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This Power BI book is an entry-level guide that will get you up and running with data modeling, visualization, and analytical techniques from scratch. You'll find this book handy if you want to get well-versed with the extensive Power BI ecosystem. You'll start by covering the basics of business intelligence and installing Power BI. You'll then learn the wide range of Power BI features to unlock business insights. As you progress, the book will take you through how to use Power Query to ingest, cleanse, and shape your data, and use Power BI DAX to create simple to complex calculations. You'll also be able to add a variety of interactive visualizations to your reports to bring your data to life. Finally, you'll gain hands-on experience in creating visually stunning reports that speak to business decision makers, and see how you can securely share these reports and collaborate with others. By the end of this book, you'll be ready to create simple, yet effective, BI reports and dashboards using the latest features of Power BI. What you will learn Explore the different features of Power BI to create interactive dashboards Use the Query Editor to import and transform data Perform simple and complex DAX calculations to enhance analysis Discover business insights and tell a story with your data using Power BI Explore data and learn to manage datasets, dataflows, and data gateways Use workspaces to collaborate with others and publish your reports Who this book is for If you're an IT manager, data analyst, or BI user new to using Power BI for solving business intelligence problems, this book is for you. You'll also find this book useful if you want to migrate from other BI tools to create powerful and interactive dashboards. No experience of working with Power BI is expected. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github...
    Note: Online resource; Title from title page (viewed September 13, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838644482/?ar
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    Hands-On Motion Graphics with Adobe After Effects CC (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (399 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover the techniques to enhance your videos with complex animations About This Book Design, animate, and sequence complete Motion Graphics Project Work with compositions & pre-compositions to create animations quickly. A practical guide to maximizing your motion graphics and visual effects skills Who This Book Is For This book is targeted at students, professionals, Youtubers, and people who are interested in video editing, animation, motion graphics. It is also for Illustrators who would like to put their creations in motion would very much like to read this book. What You Will Learn Create a lower third project for a TV show with complex layers Work with Shape Layer Animation to create an animated lyric video Explore the different tools to animate characters Use Text animation to create a dynamic film opening title Use professional-level visual effects to create a VFX project Model, light, and composite your 3d project in After Effects In Detail Adobe After Effects is one of those tools that will help you enhance your videos and bring life to it. Video Editors, YouTubers use After Effects to implement Visual Effects and Motion Graphics in their videos. Hands-On Motion Graphics with Adobe After Effects CC shows you the basics, intermediate and advanced techniques in Adobe After Effects CC 2018. You will start by setting up your editing environment to learning and improving techniques to better your videos. Furthermore, you will work with basic and advanced special effects to create, modify, and optimize motion graphics your videos. Lastly, you will not only learn how to create a 2.5D animation but also learn how to use Cinema 4D Lite to build and animate complete 3D scenes. With the help of projects, you will learn to package a whole video efficiently by the end of the book.
    Note: Online resource; Title from title page (viewed March 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789345155/?ar
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    Hands-On Enterprise Java Microservices with Eclipse MicroProfile (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: An effective guide to designing, building, and deploying enterprise Java microservices with Eclipse MicroProfile Key Features Create cloud-native microservices with ease using this detailed guide Avoid vendor lock-in when implementing microservices using Eclipse MicroProfile Discover why MicroProfile is a great specification for building microservices in multi-cloud environments Book Description Eclipse MicroProfile has gained momentum in the industry as a multi-vendor, interoperable, community-driven specification. It is a major disruptor that allows organizations with large investments in enterprise Java to move to microservices without spending a lot on retraining their workforce. This book is based on MicroProfile 2.2, however, it will guide you in running your applications in MicroProfile 3.0. You'll start by understanding why microservices are important in the digital economy and how MicroProfile addresses the need for enterprise Java microservices. You'll learn about the subprojects that make up a MicroProfile, its value proposition to organizations and developers, and its processes and governance. As you advance, the book takes you through the capabilities and code examples of MicroProfile's subprojects - Config, Fault Tolerance, Health Check, JWT Propagation, Metrics, and OpenTracing. Finally, you'll be guided in developing a conference application using Eclipse MicroProfile, and explore possible scenarios of what's next in MicroProfile with Jakarta EE. By the end of this book, you'll have gained a clear understanding of Eclipse MicroProfile and its role in enterprise Java microservices. What you will learn Understand why microservices are important in the digital economy Analyze how MicroProfile addresses the need for enterprise Java microservices Test and secure your applications with Eclipse MicroProfile Get to grips with various MicroProfile capabilities such as OpenAPI and Typesafe REST Client Explore reactive programming with MicroProfile Stream and Messaging candidate APIs Discover and implement coding best practices using MicroProfile Who this book is for If you're a Java developer who wants to create enterprise microservices, this book is for you. Familiarity with Java EE and the concept of microservices will help you get the most out of this book. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Ent...
    Note: Online resource; Title from title page (viewed August 30, 2019)
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    Hands-On Deep Learning with Go (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (242 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key Features Gain a practical understanding of deep learning using Golang Build complex neural network models using Go libraries and Gorgonia Take your deep learning model from design to deployment with this handy guide Book Description Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems. What you will learn Explore the Go ecosystem of libraries and communities for deep learning Get to grips with Neural Networks, their history, and how they work Design and implement Deep Neural Networks in Go Get a strong foundation of concepts such as Backpropagation and Momentum Build Variational Autoencoders and Restricted Boltzmann Machines using Go Build models with CUDA and benchmark CPU and GPU models Who this book is for This book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Deep-Learning-with-Go . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title page (viewed August 8, 2019)
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    Hands-On Artificial Intelligence for Cybersecurity (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (342 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key Features Identify and predict security threats using artificial intelligence Develop intelligent systems that can detect unusual and suspicious patterns and attacks Learn how to test the effectiveness of your AI cybersecurity algorithms and tools Book Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learn Detect email threats such as spamming and phishing using AI Categorize APT, zero-days, and polymorphic malware samples Overcome antivirus limits in threat detection Predict network intrusions and detect anomalies with machine learning Verify the strength of biometric authentication procedures with deep learning Evaluate cybersecurity strategies and learn how you can improve them Who this book is for If you're a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you'll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Artificial-Intelligence-for-Cybersecurity . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title page (viewed August 2, 2019)
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    Get Your Hands Dirty on Clean Architecture (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (156 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Gain insight into how hexagonal architecture can help to keep the cost of development low over the complete lifetime of an application Key Features Explore ways to make your software flexible, extensible, and adaptable Learn new concepts that you can easily blend with your own software development style Develop the mindset of building maintainable solutions instead of taking shortcuts Book Description We would all like to build software architecture that yields adaptable and flexible software with low development costs. But, unreasonable deadlines and shortcuts make it very hard to create such an architecture. Get Your Hands Dirty on Clean Architecture starts with a discussion about the conventional layered architecture style and its disadvantages. It also talks about the advantages of the domain-centric architecture styles of Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a hexagonal architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a hexagonal architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries. You'll also learn what shortcuts produce what types of technical debt and how, sometimes, it is a good idea to willingly take on those debts. After reading this book, you'll have all the knowledge you need to create applications using the hexagonal architecture style of web development. What you will learn Identify potential shortcomings of using a layered architecture Apply methods to enforce architecture boundaries Find out how potential shortcuts can affect the software architecture Produce arguments for when to use which style of architecture Structure your code according to the architecture Apply various types of tests that will cover each element of the architecture Who this book is for This book is for you if you care about the architecture of the software you are building. To get the most out of this book, you must have some experience with web development. The code examples in this book are in Java. If you are not a Java programmer but can read object-oriented code in other languages, you will be fine. In the few places where Java or framework specifics are needed, they are thoroughly explained.
    Note: Online resource; Title from title page (viewed September 30, 2019)
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    CCNA 200-301 (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed October 15, 2019)
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  • 41
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    Blueprints Visual Scripting for Unreal Engine - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (380 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Develop high-quality interactive games with the power of Unreal Engine's visual scripting language and Blueprints framework Key Features Design a fully functional game in UE4 without writing a single line of code Implement visual scripting to develop gameplay mechanics, UI, visual effects, VR and artificial intelligence Deploy your game on multiple platforms and share it with the world Book Description Blueprints is the visual scripting system in Unreal Engine that enables programmers to create baseline systems and can be extended by designers. This book helps you explore all the features of the Blueprint Editor and guides you through using Variables, Macros, and Functions. You'll also learn about object-oriented programming (OOP) and discover the Gameplay Framework. In addition to this, you'll learn how Blueprint Communication allows one Blueprint to access information from another Blueprint. Later chapters will focus on building a fully functional game using a step-by-step approach. You'll start with a basic first-person shooter (FPS) template, and each chapter will build on the prototype to create an increasingly complex and robust game experience. You'll then progress from creating basic shooting mechanics to more complex systems, such as user interface elements and intelligent enemy behavior. The skills you will develop using Blueprints can also be employed in other gaming genres. In the concluding chapters, the book demonstrates how to use arrays, maps, enums, and vector operations. Finally, you'll learn how to build a basic VR game. By the end of this book, you'll have learned how to build a fully functional game and will have the skills required to develop an entertaining experience for your audience. What you will learn Understand programming concepts in Blueprints Create prototypes and iterate new game mechanics rapidly Build user interface elements and interactive menus Use advanced Blueprint nodes to manage the complexity of a game Explore all the features of the Blueprint editor, such as the Components tab, Viewport, and Event Graph Get to grips with object-oriented programming (OOP) concepts and explore the Gameplay Framework Learn Virtual Reality development with UE Blueprint Who this book is for This book is for anyone who is interested in developing games or applications with UE4. Although basic knowledge of Windows OS is required, experience in programming or UE4 is not necessary. Downloading the example code for this ebook: ...
    Note: Online resource; Title from title page (viewed August 23, 2019)
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    Red Hat RHCSA 8 Practice Tests (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (8 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Red Hat RHCSA 8 Practice Tests provides two full practice exams so you can test your skills before taking the RHCSA exam. This title was created by Sander van Vugt to support the Red Hat Certified System Administrator (RHCSA) Complete Video Course 3rd Edition and is an essential part of preparing for the exam. It is suggested that you take these exams after watching Red Hat Certified System Administrator (RHCSA) Complete Video Course 3rd Edition and/or attending Sander van Vugt's Red Hat Certified System Administrator (RHCSA) Crash Course through O'Reilly's Live Training program.
    Note: Online resource; Title from title page (viewed August 30, 2019)
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    Red Hat Certified Engineer (RHCE) EX294 : Red Hat Ansible Automation (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 45 min.)
    Edition: 3rd edition
    Keywords: Electronic videos ; local
    Abstract: The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 10+ Hours of Video Instruction Description Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation provides a solid understanding of all the topics required to pass the RHCE exam, including how to perform common automation tasks using Ansible and management of a Linux environment Overview Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation is all new and fully updated. This 10-hour video course provides a solid understanding of all the topics required to pass the RHCE exam and includes live demos, exam question walk-throughs and dynamic lightboard teaching. The student learns how to perform common automation tasks using Ansible as well as how to use common Ansible components to automate the management of a Linux environment. RHCE EX294 Complete Video Course covers all facets of the newly-updated RHCE exam. Instructor Sander van Vugt walks you through the topics using demos and labs to test the student's knowledge with real world scenarios. Each video lesson ends with a lab that provides an exercise so you can test your skills. Sander then provides a detailed solution to each lab, explaining how to solve for the exam objectives so you can get the experience you need to pass the test. Audio instruction throughout offers detailed explanations, tips, and configuration verifications. This engaging self-paced video training solution provides learners with more than 10 hours of video instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat Certified Engineer (RHCE) exam, as well as a deeper understanding of Red Hat Enterprise Linux and Ansible. The combination of video, labs, and practice exams provides a unique offering that gives you a full toolkit to learn and excel on your exam. Topics include: Module 1: Introduction to Ansible Module 2: Using Advanced Ansible Solutions Module 3: Managing Systems with Ansible Module 4: Sample Exam About the Instructor Sander van Vugt has been teaching Linux classes sinc...
    Note: Online resource; Title from title screen (viewed September 27, 2019)
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    Perfect 3 Days Linux Course (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781838983055
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Linux administration and command line About This Video Get to grips with fundamental Linux concepts Explore useful examples and smart tips throughout the course Benefit from the course’s easy-to-follow three-day learning schedule In Detail This course is designed to help you quickly get started with learning Linux. As you build on your knowledge, you’ll be able to confidently carry out Linux installation and even manage the Linux server by running commands. By spending only a few hours every day for three days, you’ll cover essential Linux concepts including the following: Day 1 – Installation, Configuration, File System and Basic Commands Day 2 – Linux System Administration Day 3 – Advanced Linux System Administration Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/Asif-packt/Perfect-3-Days-Linux-Course . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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    OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (494 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection Key Features Explore the latest features and APIs in OpenCV 4 and build computer vision algorithms Develop effective, robust, and fail-safe vision for your applications Build computer vision algorithms with machine learning capabilities Book Description OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work through recipes that implement a variety of tasks. With 70 self-contained tutorials, this book examines common pain points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs. This book begins by setting up OpenCV, and explains how to manipulate pixels. You'll understand how you can process images with classes and count pixels with histograms. You'll also learn detecting, describing, and matching interest points. As you advance through the chapters, you'll get to grips with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you'll cover deep learning concepts such as face and object detection. By the end of the book, you'll be able to confidently implement a range of computer vision algorithms to meet the technical requirements of your complex CV projects. What you will learn Install and create a program using the OpenCV library Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit image geometry to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques Reconstruct a 3D scene from images Explore face detection using deep learning Who this book is for If you’re a CV developer or professional who already uses or would like to use OpenCV for building computer vision software, this book is for you. You’ll also find this book useful if you’re a C++ programmer looking to extend your computer vision skillset by learning OpenCV. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github...
    Note: Online resource; Title from title page (viewed May 3, 2019)
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    Network Science with Python and NetworkX Quick Start Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (190 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Manipulate and analyze network data with the power of Python and NetworkX Key Features Understand the terminology and basic concepts of network science Leverage the power of Python and NetworkX to represent data as a network Apply common techniques for working with network data of varying sizes Book Description NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use. If you're a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you'll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You'll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. By the end of this book, you'll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems. What you will learn Use Python and NetworkX to analyze the properties of individuals and relationships Encode data in network nodes and edges using NetworkX Manipulate, store, and summarize data in network nodes and edges Visualize a network using circular, directed and shell layouts Find out how simulating behavior on networks can give insights into real-world problems Understand the ongoing impact of network science on society, and its ethical considerations Who this book is for If you are a programmer or data scientist who wants to manipulate and analyze network data in Python, this book is perfect for you. Although prior knowledge of network science is not necessary, some Python programming experience will help you understand the concepts covered in the book easily. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Network-Science-with...
    Note: Online resource; Title from title page (viewed April 26, 2019)
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    Mastering Professional Scrum : A Practitioner’s Guide to Overcoming Challenges and Maximizing the Benefits of Agility (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (224 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: “Our job as Scrum professionals is to continually improve our ability to use Scrum to deliver products and services that help customers achieve valuable outcomes. This book will help you to improve your ability to apply Scrum.” —From the Foreword by Ken Schwaber, co-author of Scrum Mastering Professional Scrum is for anyone who wants to deliver increased value by using Scrum more effectively. Leading Scrum practitioners Stephanie Ockerman and Simon Reindl draw on years of Scrum training and coaching to help you return to first principles and apply Scrum with the professionalism required to achieve its transformative potential. The authors aim to help you focus on proven Scrum approaches for improving quality, getting and using fast feedback, and becoming more adaptable, instead of “going through the motions” and settling for only modest improvements. Whether you’re a Scrum Master, Development Team member, or Product Owner, you’ll find practical advice for facing challenges with transparency and courage, overcoming a wide array of common challenges, and continually improving your Scrum practice. Realistically assess your current Scrum practice, and identify areas for improvement Recognize what a great Scrum Team looks like and get there Focus on “Done”—not “sort-of-Done” or “almost-Done” Measure and optimize the value delivered by every Product Increment Improve the way you plan, develop, and grow Clear away wider organizational impediments to agility and professionalism Overcome common misconceptions that stand in the way of progress Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
    Note: Online resource; Title from title page (viewed October 7, 2019)
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    Machine Learning Fundamentals with Amazon SageMaker on AWS (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed September 23, 2019)
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    Learn Selenium (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (536 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn end-to-end automation testing techniques for web and mobile browsers using Selenium WebDriver, AppiumDriver, Java, and TestNG Key Features Explore the Selenium grid architecture and build your own grid for browser and mobile devices Use ExtentReports for processing results and SauceLabs for cloud-based test services Unlock the full potential of Selenium to test your web applications. Book Description Selenium WebDriver 3.x is an open source API for testing both browser and mobile applications. With the help of this book, you can build a solid foundation and can easily perform end-to-end testing on web and mobile browsers.You'll begin by being introduced to the Selenium Page Object Model for software development. You'll architect your own framework with a scalable driver class, Java utility classes, and support for third-party tools and plugins. You'll design and build a Selenium grid from scratch to enable the framework to scale and support different browsers, mobile devices, and platforms.You'll strategize and handle a rich web UI using the advanced WebDriver API and learn techniques to handle real-time challenges in WebDriver. You'll perform different types of testing, such as cross-browser testing, load testing, and mobile testing. Finally, you will also be introduced to data-driven testing, using TestNG to create your own automation framework.By the end of this Learning Path, you'll be able to design your own automation testing framework and perform data-driven testing with Selenium WebDriver. This Learning Path includes content from the following Packt products: Selenium WebDriver 3 Practical Guide - Second Edition by Unmesh Gundecha Selenium Framework Design in Data-Driven Testing by Carl Cocchiaro What you will learn Use different mobile and desktop browser platforms with Selenium 3 Use the Actions API for performing various keyboard and mouse actions Design the Selenium Driver Class for local, remote, and third-party grid support Build page object classes with the Selenium Page Object Model Develop data-driven test classes using the TestNG framework Encapsulate data using the JSON protocol Build a Selenium Grid for RemoteWebDriver testing Build and use utility classes in synchronization, file I/O, reporting and test listener classes Who this book is for This Learning Path is ideal for software quality assurance/testing professionals, software project managers, or software developers interested in using Selenium for testing their ...
    Note: Online resource; Title from title page (viewed July 18, 2019)
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    Hands-On Exploratory Data Analysis with R (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your data analysis projects using powerful R packages and techniques Create multiple hands-on data analysis projects using real-world data Discover and practice graphical exploratory analysis techniques across domains Book Description Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore graphical and numerical techniques using the R language. This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems. By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context. What you will learn Learn effective R techniques that can accelerate your data analysis projects Import, clean, and explore data using powerful R packages Practice graphical exploratory analysis techniques Create informative data analysis reports using ggplot2 Identify and clean missing and erroneous data Explore data analysis techniques to analyze multi-factor datasets Who this book is for Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation in data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete exploratory data analysis workflow. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Exploratory-Data-Analysis-with-R . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title page (viewed May 31, 2019)
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    Hands-On Deep Learning Algorithms with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (512 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applications Key Features Get up to speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithms Implement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlow Book Description Deep learning is one of the most popular domains in the AI space that allows you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles involved, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into recurrent neural networks (RNNs) and LSTM and how to generate song lyrics with RNN. Next, you will master the math necessary to work with convolutional and capsule networks, widely used for image recognition tasks. You will also learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Finally, you will explore GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects. What you will learn Implement basic-to-advanced deep learning algorithms Master the mathematics behind deep learning algorithms Become familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and Nadam Implement recurrent networks, such as RNN, LSTM, GRU, and seq2seq models Understand how machines interpret images using CNN and capsule networks Implement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGAN Explore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAE Who this book is for If you are a machine learning engineer, data scientist, AI developer, or anyone looking to delve into neural networks and deep learning, t...
    Note: Online resource; Title from title page (viewed July 25, 2019)
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    Hands-On Data Analysis with Pandas (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789615326
    Language: English
    Pages: 1 online resource (740 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool Book Description Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial. Downloading the example code for this ebook: You can download the example ...
    Note: Online resource; Title from title page (viewed July 26, 2019)
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    Data Engineering with Python and AWS Lambda LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 7 Hours of Video Instruction Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane. Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers. Description Some of the many benefits of programming with AWS Lambda in Python include no servers to manage, continuous scaling, and subsecond metering. Several use cases include data processing, stream processing, IoT backends, mobile, and web applications. Learn to take advantage of a new paradigm in software architecture that will make your code easier to write, maintain, and deploy. AWS Lambda functions are the building blocks for creating sophisticated applications and services on AWS. In this LiveLesson, you learn to use Python to develop Lambda functions that communicate with key AWS services: API Gateway, SQS, and CloudWatch functions. You also learn how a new cloud-based development environment, Cloud9, can streamline writing, debugging, and deploying AWS Lambda functions. About the Instructors Noah Gift is a lecturer and consultant at both the UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He is teaching and designing graduate Machine Learning, AI, and Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty, including leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah has published close to 100 technical publications, including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, an M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Currently, he is consulting startups and other companies on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic AI Labs. His most recent ...
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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    CCNA 200-301 Foundations : A Pre-CCNA Review of Networking Fundamentals (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 12+ Hours of Video Instruction Overview Even though the CCNA certification is an associate level program, exam candidates are expected to have a basic knowledge of IP addressing, knowledge of networking fundamentals, and some experience deploying and managing Cisco solutions. CCNA 200-301 Foundations LiveLessons provides you with the pre-requisite knowledge needed to begin your CCNA exam preparation. Assuming no previous knowledge, this comprehensive networking fundamentals course covers the theory and operation of multiple networking technologies, all designed to lay a strong foundation for your CCNA studies and beyond. About the Instructor Kevin Wallace, CCIEx2 (Route/Switch and Collaboration) #7945 With Cisco experience dating back to 1989, Kevin has been a Network Design Specialist for the Walt Disney World Resort, a Network Manager at Eastern Kentucky University, an instructor for Cisco Learning Partners, an author of multiple Cisco Press books, and a Distinguished Speaker at Cisco Live. Currently, Kevin owns and operates Kevin Wallace Training, LLC (kwtrain.com), a provider of self-paced training materials that simplify computer networking. Skill Level Beginner Learn How To In this course, you’ll learn the fundamentals of networking, to get you prepared to begin your Cisco CCNA studies. Specifically, you’ll learn the basics of the following topics: protocols and reference models, network devices, network topologies, network services, WAN technologies, cables and connectors, Ethernet switches, wireless networking, network addressing, routing, unified communications, cloud and virtualization, network security, network monitoring and management, high availability, and quality of service. Who Should Take This Course This course is designed for anyone wanting to work towards their Cisco CCNA certification that has less than two years of networking experience. Course Requirements Since this is an introductory level course, there are no prerequisites. Lesson descriptions Protocols and Reference Models: In this lesson, you’ll learn about commonly used network protocols and how they fit into the OSI Model. Network Devices: In this lesson, you’ll learn about the operation of network devices such as routers, switches, and firewalls. Network Topologies and Categories: In this lesson, you’ll learn about ways to categorize networks based on size and where resources are located. Network Services: In this lesson, you’ll learn about network services suc...
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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    AWS Certified SysOps Administrator Associate (SOA-C01) Cert Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    ISBN: 9780135783467 , 0135783461
    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Series Statement: Cert guide
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Electronic data processing personnel Certification ; Electronic books ; local ; Amazon Web Services (Firm) ; Infonuagique ; Examens ; Guides de l'étudiant ; Services Web ; Examens ; Guides de l'étudiant ; Electronic data processing personnel ; Certification ; Examinations ; Electronic books ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: The AWS Certified Sysops Administrator Associate certification demonstrates your expertise in deploying, managing, securing, optimizing, and automating solutions on the world's leading cloud platform, Amazon Web Services. AWS Certified Sysops Administrator Associate Cert Guide is the comprehensive self-study resource for Amazon's valuable new exam. Designed for all AWS Certified Sysops Administrator Associate candidates, this guide covers every exam objective concisely and logically, with extensive teaching features designed to promote retention and understanding. You'll find: Hands-on labs you can perform with a free AWS account Real-world examples throughout Pre-chapter quizzes to assess knowledge upfront, and efficiently focus your study Foundation topics sections that explain concepts and configurations, and link theory to practice Key topics sections calling attention to every figure, table, and list you must know Exam Preparation sections with additional chapter review features Final preparation chapter with tools and resources to help you craft review and test-taking strategies and optimize study time A customizable practice test library This guide offers comprehensive, up-to-date coverage of all AWS Certified Sysops Administrator Associate topics related to: Deploying, provisioning, managing, and operating AWS systems that scale, are highly available, and are fault tolerant Implementing and managing data storage, and data flows into and out of AWS Choosing the right AWS service for each requirement Selecting the right best practices for AWS operations Enforcing security and compliance Projecting usage costs and establishing operational cost controls Moving on-premises workloads into AWS Automating and optimizing AWS systems for maximum efficiency and value
    Note: Online resource; Title from title page (viewed December 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780135783467/?ar
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    Agile Leadership Toolkit : Learning to Thrive with Self-Managing Teams (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Practical, Proven Tools for Leading and Empowering High-Performing Agile Teams A leader is like a farmer, who doesn't grow crops by pulling them but instead creates the perfect environment for the crops to grow and thrive. If you lead in organizations that have adopted agile methods, you know it's crucial to create the right environment for your agile teams. Traditional tools such as Gantt charts, detailed plans, and internal KPIs aren't adequate for complex and fast-changing markets, but merely trusting employees and teams to self-manage is insufficient as well. In Agile Leadership Toolkit, longtime agile leader Peter Koning provides a practical and invaluable steering wheel for agile leaders and their teams. Drawing on his extensive experience helping leaders drive more value from agile, Koning offers a comprehensive toolkit for continuously improving your environment, including structures, metrics, meeting techniques, and governance for creating thriving teams that build disruptive products and services. Koning thoughtfully explains how to lead agile teams at large scale and how team members fit into both the team and the wider organization. Architect environments that help teams learn, grow, and flourish for the long term Get timely feedback everyone can use to improve Co-create goals focused on the customer, not the internal organization Help teams brainstorm and visualize the value of their work to the customer Facilitate team ownership and accelerate team learning Support culture change, and design healthier team habits Make bigger changes faster This actionable guide is for leaders at all levels–whether you're supervising your first agile team, responsible for multiple teams, or lead the entire company. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
    Note: Online resource; Title from title page (viewed September 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780135225813/?ar
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    Active Directory Administration Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (620 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn the intricacies of managing Azure AD and Azure AD Connect, as well as Active Directory for administration on cloud and Windows Server 2019 Key Features Expert solutions for the federation, certificates, security, and monitoring with Active Directory Explore Azure AD and AD Connect for effective administration on cloud Automate security tasks using Active Directory and PowerShell Book Description Active Directory is an administration system for Windows administrators to automate network, security and access management tasks in the Windows infrastructure. This book starts off with a detailed focus on forests, domains, trusts, schemas and partitions. Next, you'll learn how to manage domain controllers, organizational units and the default containers. Going forward, you'll explore managing Active Directory sites as well as identifying and solving replication problems. The next set of chapters covers the different components of Active Directory and discusses the management of users, groups and computers. You'll also work through recipes that help you manage your Active Directory domains, manage user and group objects and computer accounts, expiring group memberships and group Managed Service Accounts (gMSAs) with PowerShell. You'll understand how to work with Group Policy and how to get the most out of it. The last set of chapters covers federation, security and monitoring. You will also learn about Azure Active Directory and how to integrate on-premises Active Directory with Azure AD. You'll discover how Azure AD Connect synchronization works, which will help you manage Azure AD. By the end of the book, you have learned about Active Directory and Azure AD in detail. What you will learn Manage new Active Directory features, such as the Recycle Bin, group Managed Service Accounts, and fine-grained password policies Work with Active Directory from the command line and use Windows PowerShell to automate tasks Create and remove forests, domains, and trusts Create groups, modify group scope and type, and manage memberships Delegate control, view and modify permissions Optimize Active Directory and Azure AD in terms of security Who this book is for This book will cater to administrators of existing Active Directory Domain Services environments and/or Azure AD tenants, looking for guidance to optimize their day-to-day effectiveness. Basic networking and Windows Server Operating System knowledge would come in handy. Downloading the example code for t...
    Note: Online resource; Title from title page (viewed May 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789806984/?ar
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    Abstraction in Computer Networks (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Computer networks rely on many forms of abstraction to scale‚Äìindeed, to operate at all. While at least some of this abstraction is visible, such as route aggregation and flooding domain boundary summarization, much of it is hidden in unexpected places, such as in the logical construction of a network device, in the operation of BGP route reflectors, and in the data plane protocol stack. Abstraction in Computer Networks LiveLessons considers abstraction in theory and practice across many of the places it is used in building network devices, network software, and networks. Tradeoffs and common problems are considered, and the relationship between abstraction and complexity is discussed. Viewers learn how to think about what abstraction hides, and why it is important to hide each of these things. They also learn how to look in unexpected places for abstraction, how to think about leaky abstractions, and how Keith’s Law and the first corollary to Keith’s Law impact abstraction, including unintended consequences. Abstraction also relates to the State/Optimization/Surface tradeoff triad, so a section of this LiveLesson considers that tradeoff and how abstraction controls the speed and amount of state, impacts the depth and breadth of interaction surfaces, and reduces optimization. About the Instructor Russ White has more than 25 years of experience in designing, deploying, breaking, and troubleshooting large-scale networks. In that time, he has co-authored more than 40 software patents, has spoken at venues throughout the world, has participated in the development of several Internet standards, has helped develop the CCDE and the CCAr, and has worked in Internet governance with the ISOC. Russ is currently a member of the artchitecture team at LinkedIn, where he works on next-generation data center designs, complexity, security, and privacy. His most recent books are The Art of Network Architecture , Navigating Network Complexity , and Problems and Solutions in Network Engineering . MSIT Capella University, MACM Shepherds Theological Seminary, PhD in progress from Southeastern Theological Seminary CCIE No. 2635, CCDE 2007:001, CCAr Skill Level Beginner-Intermediate strong〉Learn How To Find and understand abstraction, including hidden abstractions, in a network Find and understand the tradeoffs between abstraction, complexity, understandability, and network optimization Understand the relationship between Keith’s Law, the first corollary to Keith’s ...
    Note: Online resource; Title from title screen (viewed June 28, 2019)
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    Tableau LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Put learning into practice with Tableau LiveLessons for the aspiring visual data storyteller. There is a data revolution happening across the globe. From academics to politics and everywhere in between, the world’s stories are being told through their data points. Although telling stories about data isn’t new, we are now telling them in ways that are more meaningful and impactful than ever before as an emerging new class of visualizations attempts to tell the world’s stories through the power of data visualization. However, visual data storytelling is not an inherent skill, and data stories differ from traditional storytelling in many ways. Further, while robust visualization tools support rich and diverse forms of visual data storytelling capabilities, crafting a compelling data narrative is not a process that we can rely on a tool to do for us. These lessons provide a hands-on foundation for users to learn how to craft visual data narratives using the most appropriate visualizations, apply visual design to engage their audience, and purposefully structure a narrative framework to deliver a compelling, actionable data story that invites discovery, solicits new questions, or offers alternative explanations–all using one of the most powerful and ubiquitous visualization tools on the market today, Tableau. Skill Level Beginner Learn How To- Tell visual stories that communicate insights and make an impact Leverage questions to design logical and fruitful data collection and analysis Create important graphs in Tableau and know which chart to use Utilize concepts of design in data visualization and storytelling Storyboard your story for your message based on your audience Direct your audience's attention to the most important parts of your data story Design effective business presentations to showcase your data story with Tableau Who Should Take This Course Analysts sharing the results of their data discovery or analysis Students communicating data for reports or presentations Teachers helping learners (of any age) to cultivate visual data literacy Executives and business managers reporting data-driven results or metrics Journalists giving data the starring role in their editorials Course Requirements A willingness to learn how to tell stories through data Access to Tableau Desktop (Windows or Mac), version 10 or higher Related Files The supplemental content for this LiveLesson can be downloaded from Githuub at: https:...
    Note: Online resource; Title from title screen (viewed February 12, 2019)
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    Mastering GitLab 12 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789531282
    Language: English
    Pages: 1 online resource (608 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: An expert guide to helping you use DevOps techniques with the latest GitLab version to optimize and manage your software workflow Key Features Delve into GitLab's architecture, and install and configure it to fit your environment Learn about the underlying principles of Agile software development and DevOps Explore Gitlab's features to manage enterprise cloud-native applications and services Book Description GitLab is an open source repository management and version control toolkit with functions for enterprises and personal software projects. It offers configurability options, extensions, and APIs that make it an ideal tool for enterprises to manage the software development life cycle. This book begins by explaining GitLab options and the components of the GitLab architecture. You will learn how to install and set up GitLab on-premises and in the cloud, along with understanding how to migrate code bases from different systems, such as GitHub, Concurrent Versions System, Team Foundation Version Control, and Subversion. Later chapters will help you implement DevOps culture by introducing the workflow management tools in GitLab and continuous integration/continuous deployment (CI/CD). In addition to this, the book will guide you through installing GitLab on a range of cloud platforms, monitoring with Prometheus, and deploying an environment with GitLab. You'll also focus on the GitLab CI component to assist you with creating development pipelines and jobs, along with helping you set up GitLab runners for your own project. Finally, you will be able to choose a high availability setup that fits your needs and helps you monitor and act on results obtained after testing. By the end of this book, you will have gained the expertise you need to use GitLab features effectively, and be able to integrate all phases in the development process. What you will learn Install GitLab on premises and in the cloud using a variety of configurations Conduct data migration from the SVN, TFS, CVS, and GitHub platforms to GitLab Use GitLab runners to develop different types of configurations in software development Plan and perform CI/CD by using GitLab features Monitor and secure your software architecture using Prometheus and Grafana Implement DevOps culture by introducing workflow management tools in GitLab Who this book is for If you are a software developer, DevOps professional, or any developer who wants to master GitLab for productive repository management in yo...
    Note: Online resource; Title from title page (viewed August 2, 2019)
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    Linux Foundation Certified System Administrator (LFCS) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 21+ Hours of Video Instruction Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training for you to have everything you need to study for—and pass—the LFCS exam. Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training on the LFCS exam. You get more than 10 hours of Linux basics in Linux Fundamentals LiveLessons along with a full review of all Linux Foundation LFCS topics. Coverage includes advanced system administration, security, storage management, SSH services, and virtualization. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, hands-on labs, command reviews, and a practice exam so you have everything you need to study for—and pass—the LFCS exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons , a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the LFCS exam—including Advanced System Administration—and managing storage, security, SSH services, and virtualization. Each lesson ends with a lab for you to practice the skills learned in each lesson. These labs also act as training for the hands-on LFCS exam. After Sander presents you with the lab task, you have the opportunity to walk through it yourself. And the end of each lesson is the Lab Solution, where Sander walks through the correct way to complete the lab were you taking the real exam. A full practice exam is also provided so you can fully prepare for the exam. The practice exam sets up scenarios that you will solve and also provides video solutions so you can check your work against the author’s. This is an invaluable part of the study experience. This accessible self-paced video training solution provides learners with more than 21 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the Linux Foundation LFCS exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering that gives you a full...
    Note: Online resource; Title from title screen (viewed March 6, 2019)
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    Learning Amazon Web Services (AWS) (Companion Videos) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The companion videos for Learning Amazon Web Services (AWS) , the The Practical, Foundational Technical Introduction to the World’s #1 Cloud Platform Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon’s Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency
    Note: Online resource; Title from title screen (viewed August 3, 2019)
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    Learning Amazon Web Services (AWS) : A Hands-On Guide to the Fundamentals of AWS Cloud (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    ISBN: 9780135301104
    Language: English
    Pages: 1 online resource (448 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The Practical, Foundational Technical Introduction to the World's #1 Cloud Platform Includes access to several hours of online training video: Mark Wilkins' expert training video library guides you through setting up core services and prepares you to deploy your own apps and resources. Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon's Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency This book with companion training videos is a valuable learning tool for anyone seeking to demonstrate expertise through formal certification. WEB EDITION: All buyers of the book or ebook can register your book for access to a free online Web Edition of this title, which included videos embedded within the text, plus updates as they become available.
    Note: Online resource; Title from title page (viewed July 3, 2019)
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    Hands-On System Programming with Go (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (458 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the fundamentals of systems programming starting from kernel API and filesystem to network programming and process communications Key Features Learn how to write Unix and Linux system code in Golang v1.12 Perform inter-process communication using pipes, message queues, shared memory, and semaphores Explore modern Go features such as goroutines and channels that facilitate systems programming Book Description System software and applications were largely created using low-level languages such as C or C++. Go is a modern language that combines simplicity, concurrency, and performance, making it a good alternative for building system applications for Linux and macOS. This Go book introduces Unix and systems programming to help you understand the components the OS has to offer, ranging from the kernel API to the filesystem. You'll then familiarize yourself with Go and its specifications. You'll also learn how to optimize input and output operations with files and streams of data, which are useful tools in building pseudo-terminal applications. You'll gain insights into how processes communicate with each other, and learn about processes and daemon control using signals, pipes, and exit codes. This book will also enable you to understand how to use network communication using various protocols, including TCP and HTTP. As you advance, you'll focus on Go's best feature - concurrency, which will help you handle communication with channels and goroutines, other concurrency tools to synchronize shared resources, and the context package to write elegant applications. By the end of this book, you will have learned how to build concurrent system applications using Go What you will learn Explore concepts of system programming using Go and concurrency Gain insights into Golang's internals, memory models and allocation Familiarize yourself with the filesystem and IO streams in general Handle and control processes and daemons' lifetime via signals and pipes Communicate with other applications effectively using a network Use various encoding formats to serialize complex data structures Become well-versed in concurrency with channels, goroutines, and sync Use concurrency patterns to build robust and performant system applications Who this book is for If you are a developer who wants to learn system programming with Go, this book is for you. Although no knowledge of Unix and Linux system programming is necessary, intermediate knowledge of Go will help you...
    Note: Online resource; Title from title page (viewed July 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789804072/?ar
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    Hands-On Neural Networks with TensorFlow 2.0 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (358 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0 Key Features Understand the basics of machine learning and discover the power of neural networks and deep learning Explore the structure of the TensorFlow framework and understand how to transition to TF 2.0 Solve any deep learning problem by developing neural network-based solutions using TF 2.0 Book Description TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you'll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub. By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production. What you will learn Grasp machine learning and neural network techniques to solve challenging tasks Apply the new features of TF 2.0 to speed up development Use TensorFlow Datasets (tfds) and the tf.data API to build high-efficiency data input pipelines Perform transfer learning and fine-tuning with TensorFlow Hub Define and train networks to solve object detection and semantic segmentation problems Train Generative Adversarial Networks (GANs) to generate images and data distributions Use the SavedModel file format to put a model, or a generic computational graph, into production Who this book is for If you're a developer who wants to get started with machine learning and TensorFlow, or a data scientist interested in developing neural network solutions in TF 2.0, this book is for you. Experienced machine learning engineers who want to master the new features of the TensorFlow framework will also find this book useful. Basic knowledge of calculus and a strong understanding of Python programming will help you grasp the topics covered in this book. Downloading the example code for this ebook: You can download the...
    Note: Online resource; Title from title page (viewed September 18, 2019)
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    Hands-On Financial Modeling with Microsoft Excel 2019 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (292 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key Features A non-data professional's guide to exploring Excel's financial functions and pivot tables Prepare various models for income and cash flow statements, and balance sheets Perform valuations and identify growth drivers with real-world case studies Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 explores terminologies of financial modeling with the help of Excel. This book will provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing and covers best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Build a financial model by projecting balance sheets and profit and loss Apply a Monte Carlo simulation to derive key assumptions for your financial model Prepare detailed asset and debt schedule models in Excel Discover the latest and advanced features of Excel 2019 Calculate profitability ratios using various profit parameters Who this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel. Downloading the ...
    Note: Online resource; Title from title page (viewed July 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789534627/?ar
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    Hands-On Design Patterns with C# and .NET Core (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (410 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply design patterns to solve problems in software architecture and programming using C# 7.x and .NET Core 2 Key Features Enhance your programming skills by implementing efficient design patterns for C# and .NET Explore design patterns for functional and reactive programming to build robust and scalable applications Discover how to work effectively with microservice and serverless architectures Book Description Design patterns are essentially reusable solutions to common programming problems. When used correctly, they meet crucial software requirements with ease and reduce costs. This book will uncover effective ways to use design patterns and demonstrate their implementation with executable code specific to both C# and .NET Core. Hands-On Design Patterns with C# and .NET Core begins with an overview of object-oriented programming (OOP) and SOLID principles. It provides an in-depth explanation of the Gang of Four (GoF) design patterns, including creational, structural, and behavioral. The book then takes you through functional, reactive, and concurrent patterns, helping you write better code with streams, threads, and coroutines. Toward the end of the book, you’ll learn about the latest trends in architecture, exploring design patterns for microservices, serverless, and cloud native applications. You’ll even understand the considerations that need to be taken into account when choosing between different architectures such as microservices and MVC. By the end of the book, you will be able to write efficient and clear code and be comfortable working on scalable and maintainable projects of any size. What you will learn Make your code more flexible by applying SOLID principles Follow the test-driven development (TDD) approach in your .NET Core projects Get to grips with efficient database migration, data persistence, and testing techniques Convert a console application to a web application using the right MVP Write asynchronous, multithreaded, and parallel code Implement MVVM and work with RxJS and AngularJS to deal with changes in databases Explore the features of microservices, serverless programming, and cloud computing Who this book is for If you have a basic understanding of C# and the .NET Core framework, this book will help you write code that is easy to reuse and maintain with the help of proven design patterns that you can implement in your code. Downloading the example code for this ebook: You can download the example code files for th...
    Note: Online resource; Title from title page (viewed July 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789133646/?ar
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    Getting Started with Web Components (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore modern Web Component design and integrate them with a variety of web frameworks to build encapsulated reusable UI components for your web apps Key Features Learn Web Components with more than 50 web component examples for both beginners and advanced users Create responsive and highly customizable web pages using HTML, CSS, and JavaScript Extend the potential of Web Components by integrating them with standard web frameworks Book Description Web Components are a set of APIs that help you build reusable UI modules that can operate in any modern browser using just Vanilla JavaScript. The power of Web Components lies in their ability to build frontend web applications with or without web frameworks. With this practical guide, you will understand how Web Components can help you build reusable UI components for your modern web apps. The book starts by explaining the fundamentals of Web Components' design and strategies for using them in your existing frontend web projects. You will also learn how to use JavaScript libraries such as Polymer.js and Stencil.js for building practical components. As you progress, you will build a single-page application using only Web Components to fully realize their potential. This practical guide demonstrates how to work with Shadow DOM and custom elements to build the standard components of a web application. Toward the end of the book, you will learn how to integrate Web Components with standard web frameworks to help you manage large-scale web applications. By the end of this book, you will have learned about the capabilities of Web Components in building custom elements and have the necessary skills for building a reusable UI for your web applications. What you will learn Understand Web Component design, specifications, and life cycle Create single-page applications using Web Components Enable reusability and customization for your UI components Implement Web Components in your web apps using Polymer and Stencil libraries Build powerful frontend components from scratch and deploy them on the web Design patterns and best practices to integrate Web Components into your existing web application Who this book is for This book is for developers who have heard about web components, but don't really know where to start. This book is also for intermediate and advanced developers who know what web components are, but are still afraid to use them in production. This book is also for frontend engineers who are simply...
    Note: Online resource; Title from title page (viewed August 9, 2019)
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    Elasticsearch 7 Quick Start Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (186 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get the most out of Elasticsearch 7's new features to build, deploy, and manage efficient applications Key Features Discover the new features introduced in Elasticsearch 7 Explore techniques for distributed search, indexing, and clustering Gain hands-on knowledge of implementing Elasticsearch for your enterprise Book Description Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch. What you will learn Install Elasticsearch and use it to safely store data and retrieve it when needed Work with a variety of analyzers and filters Discover techniques to improve search results in Elasticsearch Understand how to perform metric and bucket aggregations Implement best practices for moving clusters and applications to production Explore various techniques to secure your Elasticsearch clusters Who this book is for This book is for software developers, engineers, data architects, system administrators, and anyone who wants to get up and running with Elasticsearch 7. No prior experience with Elasticsearch is required.
    Note: Online resource; Title from title page (viewed October 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789803327/?ar
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    Effective Python : 90 Specific Ways to Write Better Python, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (480 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Updated and Expanded for Python 3 It’s easy to start developing programs with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up. This second edition of Effective Python will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++ , Brett Slatkin brings together 90 Python best practices, tips, and shortcuts, and explains them with realistic code examples so that you can embrace Python with confidence. Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You’ll understand the best way to accomplish key tasks so you can write code that’s easier to understand, maintain, and improve. In addition to even more advice, this new edition substantially revises all items from the first edition to reflect how best practices have evolved. Key features include 30 new actionable guidelines for all major areas of Python Detailed explanations and examples of statements, expressions, and built-in types Best practices for writing functions that clarify intention, promote reuse, and avoid bugs Better techniques and idioms for using comprehensions and generator functions Coverage of how to accurately express behaviors with classes and interfaces Guidance on how to avoid pitfalls with metaclasses and dynamic attributes More efficient and clear approaches to concurrency and parallelism Solutions for optimizing and hardening to maximize performance and quality Techniques and built-in modules that aid in debugging and testing Tools and best practices for collaborative development Effective Python will prepare growing programmers to make a big impact using Python.
    Note: Online resource; Title from title page (viewed November 22, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780134854717/?ar
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    Building Forms with Vue.js (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (108 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to build dynamic schema-driven forms with Vue from scratch Key Features Understand the basics of form component composition Scale and integrate your forms with libraries such as Vuex and Vuelidate Convert any form into a self-generated schema-driven app Book Description Almost every web application and site out there handles user input in one way or another, from registration forms and log-in handling to registration and landing pages. Building Forms with Vue.js follows a step-by-step approach to help you create an efficient user interface (UI) and seamless user experience (UX) by building quick and easy-to-use forms. You'll get off to a steady start by setting up the demo project. Next, you'll get to grips with component composition from creating reusable form components through to implementing the custom input components. To further help you develop a convenient user input experience, the book will show you how to enhance custom inputs with v-mask. As you progress, you'll get up to speed with using Vuelidate and Vuex to effectively integrate your forms. You'll learn how to create forms that use global state, reactive instant user input validation and input masking, along with ensuring that they are completely schema-driven and connected to your application's API. Every chapter builds on the concepts learned in the previous chapter, while also allowing you to skip ahead to the topics you're most interested in. By the end of this book, you will have gained the skills you need to transform even the simplest form into a crafted user and developer experience with Vue. What you will learn Learn all about the basics of creating reusable form components with the Vue framework Understand v-model and how it plays a role in form creation Create forms that are completely powered and generated by a schema, either locally or from an API endpoint Understand how Vuelidate allows for easy declarative validation of all your form's inputs with Vue's reactivity system Connect your application with a Vuex-powered global state management Use the v-mask library to enhance your inputs and improve user experience (UX) Who this book is for If you are a developer with basic Vue experience who wants to enhance your forms, then this book is for you. No previous experience with any of the libraries used in the book is required.
    Note: Online resource; Title from title page (viewed October 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781839213335/?ar
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    AWS SysOps Cookbook - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (490 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Become an AWS SysOps administrator and explore best practices to maintain a well-architected, resilient, and secure AWS environment Key Features Explore AWS Cloud functionalities through a recipe-based approach Get to grips with a variety of techniques for automating your infrastructure Discover industry-proven best practices for architecting reliable and efficient workloads Book Description AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment. You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You'll then learn to provision storage volumes and autoscale an app server. Next, you'll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you'll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. By the end of this book, you'll have the skills to effectively administer your AWS environment. What you will learn Secure your account by creating IAM users and avoiding the use of the root login Simplify the creation of a multi-account landing zone using AWS Control Tower Master Amazon S3 for unlimited, cost-efficient storage of data Explore a variety of compute resources on the AWS Cloud, such as EC2 and AWS Lambda Configure secure networks using Amazon VPC, access control lists, and security groups Estimate your monthly bill by using cost estimation tools Learn to host a website with Amazon Route 53, Amazon CloudFront, and S3 Who this book is for If you are an administrator, DevOps engineer, or an IT professional interested in exploring administrative tasks on the AWS Cloud, then this book...
    Note: Online resource; Title from title page (viewed September 27, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838550189/?ar
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    AWS Certified Developer (Associate) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 14+ Hours of Video One Line Sell More than 14 hours of video instruction preparing the viewer for the AWS Associate Level Certified Developer exam by discussing and demonstrating the services included in the published blueprint of the exam, including AWS CLI & SDK, IAM, VPC, EC2, Route53 DNS, S3, DynamoDB, etc. Overview This course, “AWS Certified Developer Complete Video Course” focuses on the role-based certification, AWS Developer Associate. According to Amazon, “this exam validates proficiency in developing, deploying, and debugging cloud-based applications using AWS.” Amazon Web Services currently has over 130 individual services available for use. Each service falls into an overarching category such as compute, storage, database, networking, etc. The AWS Developer Associate focuses on those services and concepts relevant to developers using, or intending to use, AWS services to create their applications. This course covers the published blueprint for the Associate level Certified Developer exam. It’s important to note that this course is not intended to teach you to how program or develop applications. The goal is to help you understand the services that are available to run the applications you develop through live demonstration. Each lesson begins with a walk-through to provide an overview of the topic and then goes into demonstration mode. The majority of the demonstrations in this course are accomplished with a free AWS Trial Account so you can follow along. This course takes a lab-based approach to teaching you, which means we will focus on how to develop throughout the training so you can get some hands-on experience working in AWS. You will also learn about the objectives in the exam, but the emphasis is on doing so you can gain the experience needed to actually develop in AWS as well as pass the test. Each lesson has a lab-based exercise that walks you through concepts and also allows you to dive into a project. Lab files are included as downloads with the course so you can work alongside the author and work on projects." Nick Garner has co-founded an IoT company that runs entirely on AWS infrastructure that he manages. He has certifications in AWS, CEH, CISSP and 2 CCIEs (routing/switching and security). He works with Amazon Web Services design on a daily basis, particularly with respect to extending enterprise services into cloud service providers such as Amazon AWS, Microsoft Azure, and Google Compute. Topics include: Module ...
    Note: Online resource; Title from title screen (viewed January 9, 2019)
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    Autodesk Revit in 4 Hours (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838551728
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Efficiently create models that capture design intent with Autodesk Revit About This Video An overview of the major tools needed to build a successful model. A brief discussion of advanced methods used for many of the tools covered. An introduction to creating custom elements to make your design and model unique. In Detail Autodesk Revit boasts powerful tools that allow you to efficiently plan and manage your projects and visualize your designs. You will begin by moving around in Revit before discussing the tools you'll need to begin setting up a project. Then you'll cover the basic tools and methods for building a 3D model using all of the most common tools. Then you will create custom elements that allow you to add a level of detail and design to make your projects unique. You will then learn 2D modeling; we will be looking at many of the tools that help round-out a good drawing set; from dimensions, to two-dimensional linework and fill regions - everything from the stock materials built into Revit, to creating custom textures to get the look you're after. After learning 2D models you will create 3D views, all of the settings that are associated with the internal rendering engine Finally, we will discuss tools and processes by which you can produce a full construction document or presentation drawing set; this will include title blocks, sheets, and custom schedules, as well as how to save a set of drawings as a PDF or print them as hard copies.
    Note: Online resource; Title from title screen (viewed April 23, 2019)
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    Advanced Elasticsearch 7.0 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789957754
    Language: English
    Pages: 1 online resource (560 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master the intricacies of Elasticsearch 7.0 and use it to create flexible and scalable search solutions Key Features Master the latest distributed search and analytics capabilities of Elasticsearch 7.0 Perform searching, indexing, and aggregation of your data at scale Discover tips and techniques for speeding up your search query performance Book Description Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks. You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch. By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch. What you will learn Pre-process documents before indexing in ingest pipelines Learn how to model your data in the real world Get to grips with using Elasticsearch for exploratory data analysis Understand how to build analytics and RESTful services Use Kibana, Logstash, and Beats for dashboard applications Get up to speed with Spark and Elasticsearch for real-time analytics Explore the basics of Spring Data Elasticsearch, and understand how to index, search, and query in a Spring application Who this book is for This book is for Elasticsearch developers and data engineers who want to take their basic knowledge of Elasticsearch to the next level and use it to build enterprise-grade distributed search applications. Prior experience of working with Elasticsearch will be us...
    Note: Online resource; Title from title page (viewed August 23, 2019)
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    Using Redux with React LiveLessons Video Training (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction Web applications of today are becoming increasingly more complex. Our apps commonly need to request data from various sources and handle rich user interactions, which can become difficult to keep track of as our apps scale. Luckily, if you are using the React framework, there are many ways to solve these problems. React has emerged as the industry standard for JavaScript frameworks. With more than 3 million weekly downloads from the NPM package manager—and heavy usage by leading companies such as Google, Microsoft, Netflix, Twitter and so many more—React is a leading framework. Learn how to unlock the power of React with the Redux library to provide creative solutions and highly flexible web components. In larger applications, many developers and teams lean on Flux-style architectures, such as those implemented by the Redux library, which have proven to be highly scalable and easily testable. Instructor Dave Lunny covers how you can develop successful web applications with these powerful technologies. Description In this 5 hour LiveLesson, Dave Lunny provides a deep dive into the concepts behind Flux-based architectures like Redux, showing how to use unidirectional data patterns to help simplify your web applications. Lunny uses a mix of screen casting, slides, and personal narrative to cover modern development patterns, demonstrating how to solve state management issues that can arise—such as higher-order components, render props, and context. Skill Level Beginning-Intermediate What You Will Learn How to simplify the way data flows through applications A full understanding of the concepts behind Flux-style architecture and how to think in Redux Exciting concepts to help make components more flexible A keen understanding of the overarching concept behind Redux and how the library fits into a modern front-end JavaScript stack How to use Redux with React Advanced React patterns, such as higher-order components, render props, and the Context API Who Should Take This Course Web Developers Javascript developers Course Requirements Pre-requisites: A working knowledge of modern JavaScript (ES6+), as well as some basic CSS/HTML knowledge. Understanding of common web development best practices, specifically the benefits of building reusable UI components. Intermediate knowledge of the React JavaScript framework. About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technolo...
    Note: Online resource; Title from title screen (viewed April 18, 2019)
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    The Complete Cybersecurity Bootcamp (Video Collection) : Threat Defense, Ethical Hacking, and Incident Handling (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: More than 25 Hours of Expert Video Instruction This course is a complete guide to help you get up and running with your cybersecurity career. You will learn the key tenets and fundamentals of networking and security basics; cybersecurity management, monitoring and analysis; network security telemetry; digital forensics and incident response (DFIR); fundamentals of ethical hacking and penetration testing; advanced wireless hacking and pen testing; mobile device security, and IoT Security. This Complete Video Course provides a complete learning path for building your skills as a cyber security professional. You will start with the fundamental concepts, so you can increase your core knowledge before quickly moving on to actually working through pen testing and ethical hacking projects—so you can start to build your skills. Omar Santos, best-selling Cisco Press and Pearson security author and trainer, has compiled the lessons in this title from other training courses. You will find that the lessons build on each in an easy-to-follow organization, so you can move through the topics at your own pace. This course provides supplemental material to reinforce some of the critical concepts and techniques that the reader has learned and provides scripts that help you build your own hacking environment, examples of real-life penetration testing reports, and more. This material can be found at theartofhacking.org. Topics include: Module 1: Networking and Security Basics Module 2: Cybersecurity Management, Monitoring, and Analysis Module 3: Network Security Telemetry Module 4: Digital Forensics and Incident Response (DFIR) Module 5: Fundamentals of Ethical Hacking and Penetration Testing Module 6: Advanced Wireless Hacking and Penetration Testing Module 7: Mobile Device Security Module 8: Internet of Things (IoT) Security About the Instructor Omar Santos is an active member of the cyber security community, where he leads several industry-wide initiatives and standards bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies, and other participants dedicated to increasing the security of their critical infrastructures. Omar is the author of more than a dozen books and video courses, as well as numerous white papers, articles, and security configuration guidelines and best practices. Omar is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers ...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    Serverless Programming Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (490 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build, secure, and deploy real-world serverless applications in AWS and peek into the serverless cloud offerings from Azure, Google Cloud, and IBM Cloud Key Features Build serverless applications with AWS Lambda, AWS CloudFormation and AWS CloudWatch Perform data analytics and natural language processing(NLP)on the AWS serverless platform Explore various design patterns and best practices involved in serverless computing Book Description Managing physical servers will be a thing of the past once you're able to harness the power of serverless computing. If you're already prepped with the basics of serverless computing, Serverless Programming Cookbook will help you take the next step ahead. This recipe-based guide provides solutions to problems you might face while building serverless applications. You'll begin by setting up Amazon Web Services (AWS), the primary cloud provider used for most recipes. The next set of recipes will cover various components to build a Serverless application including REST APIs, database, user management, authentication, web hosting, domain registration, DNS management, CDN, messaging, notifications and monitoring. The book also introduces you to the latest technology trends such as Data Streams, Machine Learning and NLP. You will also see patterns and practices for using various services in a real world application. Finally, to broaden your understanding of Serverless computing, you'll also cover getting started guides for other cloud providers such as Azure, Google Cloud Platform and IBM cloud. By the end of this book, you'll have acquired the skills you need to build serverless applications efficiently using various cloud offerings. What you will learn Serverless computing in AWS and explore services with other clouds Develop full-stack apps with API Gateway, Cognito, Lambda and DynamoDB Web hosting with S3, CloudFront, Route 53 and AWS Certificate Manager SQS and SNS for effective communication between microservices Monitoring and troubleshooting with CloudWatch logs and metrics Explore Kinesis Streams, Amazon ML models and Alexa Skills Kit Who this book is for For developers looking for practical solutions to common problems while building a serverless application, this book provides helpful recipes. To get started with this intermediate-level book, knowledge of basic programming is a must.
    Note: Online resource; Title from title page (viewed January 31, 2019)
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    Mastering Object-Oriented Python - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789531367
    Language: English
    Pages: 1 online resource (770 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principles Key Features Extend core OOP techniques to increase integration of classes created with Python Explore various Python libraries for handling persistence and object serialization Learn alternative approaches for solving programming problems with different attributes to address your problem domain Book Description Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python. What you will learn Explore a variety of different design patterns for the __init__() method Learn to use Flask to build a RESTful web service Discover SOLID design patterns and principles Use the features of Python 3's abstract base Create classes for your own applications Design testable code using pytest and fixtures Understand how to design context managers that leverage the 'with' statement Create a new type of collection using standard library and design techniques Develop new number types above and beyond the built-in classes of numbers Who this book is for This book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required t...
    Note: Online resource; Title from title page (viewed June 14, 2019)
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    Mastering Python for Finance - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (426 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key Features Explore advanced financial models used by the industry and ways of solving them using Python Build state-of-the-art infrastructure for modeling, visualization, trading, and more Empower your financial applications by applying machine learning and deep learning Book Description The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis. What you will learn Solve linear and nonlinear models representing various financial problems Perform principal component analysis on the DOW index and its components Analyze, predict, and forecast stationary and non-stationary time series processes Create an event-driven backtesting tool and measure your strategies Build a high-frequency algorithmic trading platform with Python Replicate the CBOT VIX index with SPX options for studying VIX-based strategies Perform regression-based and classification-based machine learning tasks for prediction Use TensorFlow and Keras in deep learning neural network architecture Who this book is for If you are a financial or data analyst or a software developer in the financial ...
    Note: Online resource; Title from title page (viewed April 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789346466/?ar
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    Machine Learning and Data Science with Python : A Complete Beginners Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838980689
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artificial intelligence, machine learning, and deep learning neural networks are the most used terms in the technology world today. They’re also the most misunderstood and confused terms. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans, while machine learning and neural networks are two subsets that sit within this vast machine learning platform. But in this course, you will focus mainly on machine learning, which will include preparing your machine to make it ready for a prediction test. You will be using Python as your programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. Machine learning and data science jobs are among the most lucrative in the technology industry in recent times. Exploring this course will help you get well-versed with essential concepts and prepare you for a career in these fields. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-and-Data-Science-with-Python-A-Complete-Beginners-Guide . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 29, 2019)
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    Learn Modern OpenGL Programming (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838829780
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create your own 3D graphics with OpenGL and C++ About This Video Learn to set up an OpenGL window using GLFW and the OpenGL API Grasp the technique of programming with modern OpenGL In Detail With this interactive course, you can now take your first step toward learning modern OpenGL programming. You’ll go through a brief history of OpenGL, which will help you understand why it’s important to explore modern OpenGL with its programmable rendering pipeline over the fixed function pipeline. The course will start by taking you through the basics of getting OpenGL running in a window using the Graphics Library Framework (GLFW). Next, you’ll gain insights into rendering polygons to the display by sending buffers of data to the computer graphics card and programming it using shaders with the GLSL shading language. Later, you’ll learn how to map textures to your objects. The course will also help you set up a virtual camera using keyboard and mouse inputs to enable you to move around in the scene. After you have the fundamentals working, you can go on to building more complex elements. You’ll learn how to load 3D models and add impactful lighting to the scene. With each lesson, you’ll build the framework with reusable C++ and OpenGL code. You’ll start with a blank project and write code each step of the way, with every lesson building on the last. The easy-to-follow approach of this course makes it a suitable option even if you’ve never explored OpenGL. Using the source code, prebuilt third-party libraries, and Visual Studio solutions included in this course, you’ll be able to successfully start with building your own game engine. By the end of this course, you’ll have learned how to set up and render in 3D with modern OpenGL. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learn-Modern-OpenGL-Programming . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 25, 2019)
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    Large-Scale C++ Volume I : Process and Architecture (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (268 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Designing scalable software in C++ requires more than just a sound understanding of logical design. Senior developers, architects, and project leaders need a grasp of high-level physical design concepts that even many software experts have never explored. In Large-Scale C++, Volume I: Process and Architecture , John Lakos takes a practitioner's view of modern large-scale software development, helping experienced professionals apply architectural-level physical design concepts in their everyday work. Lakos teaches critical concepts clearly and concisely, with new high-value examples. Up to date and modular, Large-Scale C++, Volume I, is designed to help you solve problems right now, and serve as an indispensable reference for years to come.
    Note: Online resource; Title from title page (viewed December 16, 2019)
    URL: https://learning.oreilly.com/library/view/-/9780133927573/?ar
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    Improving your Penetration Testing Skills (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (712 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Evade antiviruses and bypass firewalls with the most widely used penetration testing frameworks Key Features Gain insights into the latest antivirus evasion techniques Set up a complete pentesting environment using Metasploit and virtual machines Discover a variety of tools and techniques that can be used with Kali Linux Book Description Penetration testing or ethical hacking is a legal and foolproof way to identify vulnerabilities in your system. With thorough penetration testing, you can secure your system against the majority of threats. This Learning Path starts with an in-depth explanation of what hacking and penetration testing is. You’ll gain a deep understanding of classical SQL and command injection flaws, and discover ways to exploit these flaws to secure your system. You'll also learn how to create and customize payloads to evade antivirus software and bypass an organization's defenses. Whether it's exploiting server vulnerabilities and attacking client systems, or compromising mobile phones and installing backdoors, this Learning Path will guide you through all this and more to improve your defense against online attacks. By the end of this Learning Path, you'll have the knowledge and skills you need to invade a system and identify all its vulnerabilities. This Learning Path includes content from the following Packt products: Web Penetration Testing with Kali Linux - Third Edition by Juned Ahmed Ansari and Gilberto Najera-Gutierrez Metasploit Penetration Testing Cookbook - Third Edition by Abhinav Singh , Monika Agarwal, et al What you will learn Build and analyze Metasploit modules in Ruby Integrate Metasploit with other penetration testing tools Use server-side attacks to detect vulnerabilities in web servers and their applications Explore automated attacks such as fuzzing web applications Identify the difference between hacking a web application and network hacking Deploy Metasploit with the Penetration Testing Execution Standard (PTES) Use MSFvenom to generate payloads and backdoor files, and create shellcode Who this book is for This Learning Path is designed for security professionals, web programmers, and pentesters who want to learn vulnerability exploitation and make the most of the Metasploit framework. Some understanding of penetration testing and Metasploit is required, but basic system administration skills and the ability to read code are a must. Downloading the example code for this ebook: You can download the exampl...
    Note: Online resource; Title from title page (viewed July 18, 2019)
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    Hands-On Web Scraping with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques Key Features Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup Build scrapers and crawlers to extract relevant information from the web Automate web scraping operations to bridge the accuracy gap and manage complex business needs Book Description Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools. What you will learn Analyze data and Information from web pages Learn how to use browser-based developer tools from the scraping perspective Use XPath and CSS selectors to identify and explore markup elements Learn to handle and manage cookies Explore advanced concepts in handling HTML forms and processing logins Optimize web securities, data storage, and API use to scrape data Use Regex with Python to extract data Deal with complex web entities by using Selenium to find and extract data Who this book is for This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected. Downloading the example code for this ebook: You can download the example code files for this ebook...
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789533392/?ar
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    Hands-On Full Stack Development with Spring Boot 2 and React - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to building full stack applications covering frontend and server-side programming, data management, and web security Key Features Unleash the power of React Hooks to build interactive and complex user interfaces Build scalable full stack applications designed to meet demands of modern users Understand how the Axios library simplifies CRUD operations Book Description React Hooks have changed the way React components are coded. They enable you to write components in a more intuitive way without using classes, which makes your code easier to read and maintain. Building on from the previous edition, this book is updated with React Hooks and the latest changes introduced in create-react-app and Spring Boot 2.1. This book starts with a brief introduction to Spring Boot. You’ll understand how to use dependency injection and work with the data access layer of Spring using Hibernate as the ORM tool. You’ll then learn how to build your own RESTful API endpoints for web applications. As you advance, the book introduces you to other Spring components, such as Spring Security to help you secure the backend. Moving on, you’ll explore React and its app development environment and components for building your frontend. Finally, you’ll create a Docker container for your application by implementing the best practices that underpin professional full stack web development. By the end of this book, you’ll be equipped with all the knowledge you need to build modern full stack applications with Spring Boot for the backend and React for the frontend. What you will learn Create a RESTful web service with Spring Boot Grasp the fundamentals of dependency injection and how to use it for backend development Discover techniques for securing the backend using Spring Security Understand how to use React for frontend programming Benefit from the Heroku cloud server by deploying your application to it Delve into the techniques for creating unit tests using JUnit Explore the Material UI component library to make more user-friendly user interfaces Who this book is for If you are a Java developer familiar with Spring, but are new to building full stack applications, this is the book for you. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Full-Stack-Development-with-Spring-Boot-2-and-React-Second-Edition . If you require support pl...
    Note: Online resource; Title from title page (viewed May 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838822361/?ar
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    Go Programming Cookbook - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (434 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Tackle the trickiest of problems in Go programming with this practical guide Key Features Develop applications for different domains using modern programming techniques Tackle common problems when it comes to parallelism, concurrency, and reactive programming in Go Work with ready-to-execute code based on the latest version of Go Book Description Go (or Golang) is a statically typed programming language developed at Google. Known for its vast standard library, it also provides features such as garbage collection, type safety, dynamic-typing capabilities, and additional built-in types. This book will serve as a reference while implementing Go features to build your own applications. This Go cookbook helps you put into practice the advanced concepts and libraries that Golang offers. The recipes in the book follow best practices such as documentation, testing, and vendoring with Go modules, as well as performing clean abstractions using interfaces. You'll learn how code works and the common pitfalls to watch out for. The book covers basic type and error handling, and then moves on to explore applications, such as websites, command-line tools, and filesystems, that interact with users. You'll even get to grips with parallelism, distributed systems, and performance tuning. By the end of the book, you'll be able to use open source code and concepts in Go programming to build enterprise-class applications without any hassle. What you will learn Work with third-party Go projects and modify them for your use Write Go code using modern best practices Manage your dependencies with the new Go module system Solve common problems encountered when dealing with backend systems or DevOps Explore the Go standard library and its uses Test, profile, and fine-tune Go applications Who this book is for If you're a web developer, programmer, or enterprise developer looking for quick solutions to common and not-so-common problems in Go programming, this book is for you. Basic knowledge of the Go language is assumed. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Go-Programming-Cookbook-Second-Edition . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title page (viewed July 19, 2019)
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    EDGE : Value-Driven Digital Transformation (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: EDGE: The Agile Operating Model That Will Help You Successfully Execute Your Digital Transformation [“The authors’] passion for technology allows them to recognize that for most enterprises in the 21st century, technology is THE business. This is what really separates the EDGE approach. It is a comprehensive operating model with technology at its core.” —From the Foreword by Heidi Musser, Executive Vice President and Principal Consultant, Leading Agile; retired, Vice President and CIO, USAA Maximum innovation happens at the edge of chaos: the messy, risky, and uncertain threshold between randomness and structure. Operating there is uncomfortable but it’s where organizations “invent the future.” EDGE is a set of fast, iterative, adaptive, lightweight, and value-driven tools to achieve digital transformation, and EDGE: Value-Driven Digital Transformation is your guide to using this operating model for innovation. Jim Highsmith is one of the world’s leading agile pioneers and a coauthor of the Agile Manifesto. He, Linda Luu, and David Robinson know from their vast in-the-trenches experience that sustainable digital transformation requires far more than adopting isolated agile practices or conventional portfolio management. This hard, indispensable work involves changing culture and mindset, and going beyond transforming the IT department. EDGE embraces an adaptive mindset in the face of market uncertainty, a visible, value-centered portfolio approach that encourages continual value linkages from vision to detailed initiatives, incremental funding that shifts as strategies evolve, collaborative decision-making, and better risk mitigation. This guide shows leaders how to use the breakthrough EDGE approach to go beyond incremental improvement in a world of exponential opportunities. Build an organization that adapts fast enough to thrive Clear away unnecessary governance processes, obsolete “command and control” leadership approaches, and slow budgeting/planning cycles Improve collaboration when major, fast-paced responses are necessary Continually optimize investment allocation and monitoring based on your vision and goals Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
    Note: Online resource; Title from title page (viewed September 23, 2019)
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    Deep Learning for Natural Language Processing (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (372 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Gain knowledge of various deep neural network architectures and their areas of application to conquer your NLP issues Key Features Gain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve your NLP problems Explore convolutional and recurrent neural networks and long short-term memory networks Book Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you'll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing, but also be able to select the best text preprocessing and neural network models to solve a number of NLP issues. What you will learn Understand various preprocessing techniques for solving deep learning problems Build a vector representation of text using word2vec and GloVe Create a named entity recognizer and parts-of-speech tagger with Apache OpenNLP Build a machine translation model in Keras Develop a text generation application using LSTM Build a trigger word detection application using an attention model Who this book is for If you're an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/TrainingByPackt/Deep-Learning-for-Natural-Language-Processing . If you require support please email: custom...
    Note: Online resource; Title from title page (viewed June 11, 2019)
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    CompTIA A+ Core 1 (220-1001) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    ISBN: 9780135305331 , 0135305330
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 hr., 4 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 21+ Hours of Video Instruction Overview CompTIA A+ Core 1 (220-1001) Complete Video Course is a unique video product that provides a solid understanding of A+ skills. The purpose of these videos is to act as quick, concise, hands-on training that is easily absorbed. In this best-selling author and instructor-led course you will get coverage of every objective and topic in the CompTIA A+ Core 1 (220-1001) exam. It is also full of hands-on demos so you can see real hardware and software presentations. David Prowse walks you through the details you need to not only pass the test, but troubleshoot and fix real hardware, software, and network problems for your career. The author also includes Tech Tips throughout to give you insider info on troubleshooting, repair, and maintenance. This title can be used as your sole resource for learning the material needed to study for and pass the test. You can also use this as a supplement to other A+ training. Five domains map to the main objectives of the CompTIA A+ Core 1 (220-1001) exam. These domains contain 37 lessons with video totaling more than 21 hours of hands-on demonstrations, audio instruction, animations, whiteboard training, and video screencasting. The videos also include the author building a computer live on camera so you can see first-hand how to accomplish this key task. He also includes hands-on configuration labs; laptop, smartphone, and device hardware labs; and live-action troubleshooting labs. The 37 video lessons are broken down into five domains and cover the following topics: Mobile Devices Networking Hardware Virtualization and Cloud Computing Hardware and Network Troubleshooting Topics include Domain 1: Mobile Devices Domain 2: Networking Domain 3: Hardware Domain 4: Virtualization and Cloud Computing Domain 5: Hardware and Network Troubleshooting Skill Level Beginner You Will Learn All the objectives in the CompTIA A+ Core 1 (220-1001) exam Test-taking techniques with interactive practice quizzes, performance-based simulations, and hands-on exercises How to build a computer, perform networking tasks, configure laptops and mobile devices, and perform troubleshooting ta...
    Note: Online resource; Title from title screen (viewed June 24, 2019)
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    Building AI Applications on Google Cloud Platform (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview There is a rapid evolution occurring in machine learning with tools like AutoML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production. Noah Gift illustrates just now to harness this technology and deploy it successfully on Google Cloud Platform, demonstrating for developers how to employ the current best practices and automated tools to create analytics applications that solve real-world problems. Developers who want to take their Data Science skills to the next level and build AutoML applications in the Cloud will benefit from this unique course, as they learn how to use AutoML, Big Query, Python, and Google App Engine to create sophisticated AI. Description Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. This LiveLesson covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509 . About the Instructor Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited I...
    Note: Online resource; Title from title screen (viewed August 8, 2019)
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    Android Programming with Kotlin for Beginners (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (698 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build smart looking Kotlin apps with UI and functionality for the Android platform Key Features Start your Android programming career, or just have fun publishing apps on Google Play marketplace The first-principle introduction to Kotlin through Android, to start building easy-to-use apps Learn by example and build four real-world apps and dozens of mini-apps Book Description Android is the most popular mobile operating system in the world and Kotlin has been declared by Google as a first-class programming language to build Android apps. With the imminent arrival of the most anticipated Android update, Android 10 (Q), this book gets you started building apps compatible with the latest version of Android. It adopts a project-style approach, where we focus on teaching the fundamentals of Android app development and the essentials of Kotlin by building three real-world apps and more than a dozen mini-apps. The book begins by giving you a strong grasp of how Kotlin and Android work together before gradually moving onto exploring the various Android APIs for building stunning apps for Android with ease. You will learn to make your apps more presentable using different layouts. You will dive deep into Kotlin programming concepts such as variables, functions, data structures, Object-Oriented code, and how to connect your Kotlin code to the UI. You will learn to add multilingual text so that your app is accessible to millions of more potential users. You will learn how animation, graphics, and sound effects work and are implemented in your Android app. By the end of the book, you will have sound knowledge about significant Kotlin programming concepts and start building your own fully featured Android apps. What you will learn Learn how Kotlin and Android work together Build a graphical drawing app using Object-Oriented Programming (OOP) principles Build beautiful, practical layouts using ScrollView, RecyclerView, NavigationView, ViewPager and CardView Write Kotlin code to manage an apps' data using different strategies including JSON and the built-in Android SQLite database Add user interaction, data captures, sound, and animation to your apps Implement dialog boxes to capture input from the user Build a simple database app that sorts and stores the user's data Who this book is for This book is for people who are new to Kotlin, Android and want to develop Android apps.It also acts as a refresher for those who have some experience in programming with A...
    Note: Online resource; Title from title page (viewed April 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789615401/?ar
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    Windows Server 2019 Administration Fundamentals - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838550912
    Language: English
    Pages: 1 online resource (426 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Deploy, set up, and deliver network services with Windows Server 2019, and prepare for the MTA 98-365 exam Key Features Get started with server installation, performance monitoring, and server maintenance Develop the skills necessary to manage an enterprise environment Implement networking and security best practices in your Windows Server environment Book Description Windows Server 2019 is the server operating system introduced by Microsoft as part of the Windows NT family of operating systems, developed concurrently with Windows 10. This book will not only get you started with Windows Server 2019, but will also help you prepare for the MTA 98-365 exam. With step-by-step instructions and easy-to-understand graphics, you will become well-versed with the roles, features, and functions of Windows Server 2019. Starting with the installation process, upgrades, and basic configuration, you will move on to explore roles and features such as Active Directory, Hyper-V, remote access, storage, and printers. The book then takes you through maintenance and troubleshooting tasks to guide you in efficiently managing Windows Server 2019. In addition, it covers Windows Server 2019 best practices using real-world examples. Complete with questionnaires, and detailed answers at the end of the book, you can test your understanding of the concepts covered in each chapter. By the end of this book, you will be equipped with the knowledge you need to troubleshoot, update, and maintain servers so as to ensure business continuity. What you will learn Grasp the fundamentals of Windows Server 2019 Understand how to deploy Windows Server 2019 Discover Windows Server post-installation tasks Add roles to your Windows Server environment Apply Windows Server 2019 GPOs to your network Delve into virtualization and Hyper-V concepts Explore ways to tune, maintain, update, and troubleshoot Windows Server 2019 Study relevant concepts in preparation for the MTA 98-365 exam Who this book is for If you are a system administrator or an IT professional who wants to deploy and configure Windows Server 2019, this book is for you. You can also use this as a reference guide for the MTA: Windows Server Administration Fundamentals: 98-365 exam.
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: lizenzpflichtig
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    Refactoring TypeScript (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (120 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover various techniques to develop maintainable code and keep it in shape. Key Features Learn all about refactoring - why it is important and how to do it Discover easy ways to refactor code with examples Explore techniques that can be applied to most other programming languages Book Description Refactoring improves your code without changing its behavior. With refactoring, the best approach is to apply small targeted changes to a codebase. Instead of doing a huge sweeping change to your code, refactoring is better as a long-term and continuous enterprise. Refactoring TypeScript explains how to spot bugs and remove them from your code. You'll start by seeing how wordy conditionals, methods, and null checks make code unhealthy and unstable. Whether it is identifying messy nested conditionals or removing unnecessary methods, this book will show various techniques to avoid these pitfalls and write code that is easier to understand, maintain, and test. By the end of the book, you'll have learned some of the main causes of unhealthy code, tips to identify them and techniques to address them. What you will learn Spot and fix common code smells to create code that is easier to read and understand Discover ways to identify long methods and refactor them Create objects that keep your code flexible, maintainable, and testable Apply the Single Responsibility Principle to develop less-coupled code Discover how to combine different refactoring techniques Learn ways to solve the issues caused by overusing primitives Who this book is for This book is designed for programmers who are looking to explore various refactoring techniques to develop healthy and maintainable code. Some experience in JavaScript and TypeScript can help you easily grasp the concepts explained in this book.
    Note: Online resource; Title from title page (viewed October 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781839218040/?ar
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    Red Hat Certified Engineer (RHCE) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Overview † More than 8 hours of training so you can pass the Red Hat Certified Engineer (RHCE) exam. Includes practice exam questions so you can put your knowledge to the test. Description Red Hat Certified Engineer (RHCE) Complete Video Course is a unique video product that provides a solid understanding of all the topics that are required to pass the Red Hat Certified Engineer (RHCE) exam. This title explores how to accomplish advanced system administration tasks, such as writing shell scripts, troubleshooting a server boot procedure, working with SELinux and firewalls, and configuring different network services.† Red Hat Certified Engineer (RHCE) Complete Video Course contains 17 individual video lessons divided into four modules, for a total of more than 8 hours of training. The videos consist of live trainer instruction, whiteboard training, CLI presentations, live demos, video screen casts, and practice exam walk-throughs. The author covers all the objectives in the exam so you can use this course as a complete study tool for taking the Red Hat Certified Engineer (RHCE) exam. Each lesson ends with a practice exercise, so you can practice within a CLI environment and put your knowledge to the test. Complete explanations for each exercise are also offered so you can check your work. Major topics include Advanced System Management Configuring Authentication Configuring iSCSI Target and Initiator System Performance Reporting System Optimization Basics Configuring Logging Networking and Apache Configuring Advanced Networking Managing Linux-Based Firewalls Configuring Apache Virtual Hosts Managing Advanced Apache Features DNS and File Sharing Configuring a Cache-only DNS Server Configuring NFS File Sharing Managing SMB File Sharing Essential Back-end Services Setting Up an SMTP Server Managing SSH Managing MariaDB Managing Time Services Shell Scripting Skill Level * Beginning to intermediate What You Will Learn - Key concepts for all the objectives on the Red Hat Certified Engineer (RHCE) exam - Information on the new RHEL 7 exam Who Should Take This Course Primary audience: -Anyone wanting to get RHCE certified Secondary audience: - Linux engineers interested in learning more about Red Hat Enterprise Linux - Junior system administrators who want to deepen their skills - Administrators with a profound knowledge and experience working with other Linux distributions, such as SUSE Linux Enterprise Server - Administrators ...
    Note: Online resource; Title from title screen (viewed July 30, 2019)
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    R Bioinformatics Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R packages to handle biological data using real-world examples Represent biological data with advanced visualizations suitable for research and publications Handle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analyses Book Description Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you'll explore all this and more, tackling common and not-so-common challenges in the bioinformatics domain using real-world examples. This book will use a recipe-based approach to show you how to perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools in Bioconductor, ggplot, and tidyverse. The book will guide you through the essential tools in Bioconductor to help you understand and carry out protocols in RNAseq, phylogenetics, genomics, and sequence analysis. As you progress, you will get up to speed with how machine learning techniques can be used in the bioinformatics domain. You will gradually develop key computational skills such as creating reusable workflows in R Markdown and packages for code reuse. By the end of this book, you'll have gained a solid understanding of the most important and widely used techniques in bioinformatic analysis and the tools you need to work with real biological data. What you will learn Employ Bioconductor to determine differential expressions in RNAseq data Run SAMtools and develop pipelines to find single nucleotide polymorphisms (SNPs) and Indels Use ggplot to create and annotate a range of visualizations Query external databases with Ensembl to find functional genomics information Execute large-scale multiple sequence alignment with DECIPHER to perform comparative genomics Use d3.js and Plotly to create dynamic and interactive web graphics Use k-nearest neighbors, support vector machines and random forests to find groups and classify data Who this book is for This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning through a recipe-based approach. W...
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789950694/?ar
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    Python for Data Science Complete Video Course (Video Training) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gap--it is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies. With this course, students will learn the fundamentals of Python and get prepared specifically for Data Science. Noah Gift and Kennedy Behrman take students with zero programming background through enough Python to prepare them for their Data Science curriculum. Companies are looking for developers who can create insight-driven systems, as they are now becoming critical to business success. Very few professionals are adequately trained to handle both large-scale software engineering and Machine Learning/AI. This is an emerging field, and we are developing the training to meet this need in the marketplace. Description Notebook-based Data Science programming in Python is the emerging standard but there is a dearth of quality training material available for beginners. This 9-hour video provides foundational training on the Python language for the novice or beginner programmer looking to start in the Data Science field. The video serves as the 100-level course for a Data Science undergraduate or graduate program. The course has been designed around Colab notebook-based learning. Students would be able to run every exercise shown in the videos. The material focuses on a smaller, easier subset of Python that is needed just for Data Science coding. Skill Level Beginner What You Will Learn Learn Google Colab notebook Data Science programming Learn the essential subset of Python used in Data Science Learn to manipulate data using popular Python libraries such as pandas and numpy Learn to apply Python Data Science recipes to real-world projects Learn functional programming fundamentals unique to Data Science Who Should Take This Course Complete beginners to programming Statisticians and Analysts in the data industry looking to use Python for Data Science Sales, Product Managers, Data Analysts, Marketing who want to perform Data Science Software Engineers looking to level up into Data Science and Machine Learning tracks Students enrolled in a Data Science program Course Requirements General comp...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    Python A-Z - Learn Python Programming By Building 5 Projects (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839212956
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more! About This Video No prior knowledge of Python is required. You will learn how to write clean and proper Python code as we take you through the concepts, some example projects, and the proper programming structure. Acquire the prerequisite Python skills to move into specific branches of web development, data science, image processing, and more. In Detail Welcome to "Python Programming A-Z – Learn Python Programming by Building Five Projects," a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: Basics of Python programming – expressions, variables, and printing output Python operators – the Python assignment operator, relational and logical operators, and short circuit operators Python conditionals and if statements Methods – parameters, arguments, and return values Object-oriented programming – classes and objects Encapsulation, inheritance, and abstract classes Python data structures in-depth – lists, sets, dictionaries, and tuples Conditionals – if/else statements and nested if/else Loops – for loops, while loops, break, and continue The mutability and immutability of Python’s basic types Built-in and user-defined modules Errors and exception handling – try, except, else, and finally Custom exceptions – raising exceptions and creating and raising a custom exception Data analysis with Pandas Face recognition with OpenCV Building a GUI application with Tkinter An automated Twitter bot with Tweepy Understanding the basics of databases and working with SQLite 3 Five projects with OpenCV, pandas, PyTube, Tkinter, Tweepy, and more After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself! Most importantly, you will be ready to use the huge scope offered by Python programming.
    Note: Online resource; Title from title screen (viewed October 11, 2019)
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    Mastering Windows Server 2019 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789958263
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build the skills you need for designing a full-scale implementation of Microsoft Server 2019 in an enterprise environment About This Video Real-world knowledge from fellow IT professionals with proven expertise who have been there and done that Go from learning Windows Server 2019 to mastering it with all of the advanced features and tools that this OS has to offer Failover clustering, storage, software-defined networking, containers, security, high performance and availability, and more — explained in an engaging and informative manner In Detail Windows Server 2019 provides you with a wide range of powerful, new, and enhanced features such as Hyper-V, Nano-server, server virtualization, storage, software-defined networking, server management and automation, access and information protection, virtual desktop infrastructure, and failover clustering; the list goes on… In this course, as you cover all aspects of administration-level tasks and activities and how to manage Windows Server 2019, you'll master tips for adapting to the new server management ideology, which is all about centralized monitoring and configuration. We'll also show you how migrating your existing setup (Windows Server 2016 or 2012 R2) to the latest update can be so simple. You'll learn about networking and Software-Defined Networking; use PowerShell as a central platform for performing many functions; use the new built-in integration with Docker with this latest release of Windows Server 2019 which centers around security; master HCI; and get a lot of powerful information about the remote access technologies available in this OS, as well as guidelines for virtualizing your datacenter with Hyper-V. By the end of this course, you will have all the collateral required to start planning for a full-scale implementation of Windows Server 2019.
    Note: Online resource; Title from title screen (viewed July 12, 2019)
    URL: lizenzpflichtig
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    Mastering Active Directory - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789800203
    Language: English
    Pages: 1 online resource (786 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Become an expert at managing enterprise identity infrastructure by leveraging Active Directory Key Features Explore the new features in Active Directory Domain Service Manage your Active Directory services for Windows Server 2016 effectively Automate administrative tasks in Active Directory using PowerShell Core 6.x Book Description Active Directory (AD) is a centralized and standardized system that automates networked management of user data, security, and distributed resources and enables inter-operation with other directories. This book will first help you brush up on the AD architecture and fundamentals, before guiding you through core components, such as sites, trust relationships, objects, and attributes. You will then explore AD schemas, LDAP, RMS, and security best practices to understand objects and components and how they can be used effectively. Next, the book will provide extensive coverage of AD Domain Services and Federation Services for Windows Server 2016, and help you explore their new features. Furthermore, you will learn to manage your identity infrastructure for a hybrid cloud setup. All this will help you design, plan, deploy, manage operations, and troubleshoot your enterprise identity infrastructure in a secure and effective manner. You'll later discover Azure AD Module, and learn to automate administrative tasks using PowerShell cmdlets. All along, this updated second edition will cover content based on the latest version of Active Directory, PowerShell 5.1 and LDAP. By the end of this book, you'll be well versed with best practices and troubleshooting techniques for improving security and performance in identity infrastructures. What you will learn Design your Hybrid AD environment by evaluating business and technology requirements Protect sensitive data in a hybrid environment using Azure Information Protection Explore advanced functionalities of the schema Learn about Flexible Single Master Operation (FSMO) roles and their placement Install and migrate Active Directory from older versions to Active Directory 2016 Control users, groups, and devices effectively Design your OU structure in the most effective way Integrate Azure AD with Active Directory Domain Services for a hybrid setup Who this book is for If you are an Active Directory administrator, system administrator, or network professional who has basic knowledge of Active Directory and is looking to become an expert in this topic, this book is for you.
    Note: Online resource; Title from title page (viewed August 9, 2019)
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