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Learning Cocos2d-JS Game Development
by Emanuele FeronatoIf you are new to game development or have just gotten your teeth into developing games but desire to learn more, then this book is for you. An understanding of the essentials of JavaScript is required.
Learning Couchbase
by Henry PotsangbamDesign documents and implement real world e-commerce applications with Couchbase About This Book * Get acquainted with Couchbase architecture and design your document-based data schema * Implement full text search using industry standard elastic search plugins * Develop critical and high performance applications using this hands-on tutorial guide Who This Book Is For If you are new to the NoSQL document system or have little or no experience in NoSQL development and administration and are planning to deploy Couchbase for your next project, then this book is for you. It would be helpful to have a bit of familiarity with Java. What You Will Learn * Get acquainted with the concept of NoSQL databases and configure your Couchbase database cluster * Maintain Couchbase effectively using the web-based administrative console with ease * Enable partition capabilities by making use of Buckets * Analyze important design considerations for maintaining relationship between various documents * Use Couchbase SDK Java API to store and retrieve document * Write views using map/reduce to retrieve documents efficiently * Get familiar with N1QL and how to use it in Java applications * Integrate Couchbase with Elasticsearch to implement full text search * Configure XDCR for disaster recovery and develop ecommerce application using Couchbase In Detail This book achieves its goal by taking up an end-to-end development structure, right from understanding NOSQL document design to implementing full fledged eCommerce application design using Couchbase as a backend. Starting with the architecture of Couchbase to get you up and running, this book quickly takes you through designing a NoSQL document and implementing highly scalable applications using Java API. You will then be introduced to document design and get to know the various ways to administer Couchbase. Followed by this, learn to store documents using bucket. Moving on, you will then learn to store, retrieve and delete documents using smart client base on Java API. You will then retrieve documents using SQL like syntax call N1QL. Next, you will learn how to write map reduce base views. Finally, you will configure XDCR for disaster recovery and implement an eCommerce application using Couchbase. Style and approach The book starts from absolute basics and slowly moves to more advanced topics ensuring at every step that all concepts and terms are understood by the reader to have complete understanding at every stage. Technical and complex terms are explained in clear and simple language, thus making this book a perfect companion for those who have started their journey to NoSQL using Couchbase
Learning D
by Mike ParkerThis book is intended for those with some background in a C-family language who want to learn how to apply their knowledge and experience to D. Perhaps you're a college student looking to use D for hobby projects, or a career programmer interested in expanding your skillset. This book will help you get up to speed with the language and avoid common pitfalls that arise when translating C-family experience to D.
Learning Dart - Second Edition
by Dzenan Ridjanovic Ivo BalbaertLearn to develop high performance applications with Dart 1.10 About This Book * Develop apps for the modern web using Dart and HTML5 * Clarify and shorten your Dart code using enums * Build a complex UI for business applications with Dart's Polymer framework, based on web components Who This Book Is For If you want to become a developer for the modern web, or wish to add Dart to your tool belt, then this book is for you. The book assumes you have basic HTML experience and know how web applications work. Some previous programming experience, preferably in a modern language like C#, Java, Python, Ruby or JavaScript, will give you a head start. You can work with Dart on your preferred platform, be it Linux, Mac OS X or Windows. What You Will Learn * Structure your code using functions, classes, generics, packages and libraries * Use the power of modern browsers to process and store data * Make games by drawing, and using audio and video in the browser * Develop an application with a model-driven and spiral-paced approach * Discover the Observatory tools for profiling memory and CPU usage of Dart programs * Store your app's data in MySQL and MongoDB through Dart * Build powerful HTML5 forms, validate and store data in local storage, and use web components to build your own user interface * Run your Dart server on an App Engine Managed VM In Detail Dart is an open source programming language for the web, developed at Google, with a steadily growing community. It is a single language for both client and server, appropriate for the full range of devices on the web - including phones, tablets, laptops, and servers. It encompasses the lessons of the last two decades of web programming. This book will give you a thorough overview of Dart, taking you through its ecosystem, syntax, and development principles. With this book, you will build web games using HTML5, audio, and video, and also dive into processing and displaying data in HTML5 forms with Dart. You will also learn how web components fit together with HTML5, and how to apply them in business web applications of the future. You will discover how to store data on the client, communicate data between client and server with JSON, and store JSON data with MongoDB and MySQL. Stop solving new challenges with the same old tools - let Dart show you a whole new way. Style and approach This book provides you a project-based approach, with everything you need to start or enhance your career in the future of web development with Dart. It follows the spiral approach: each project builds up in successive spirals, adding new features in each step.
Learning Data Mining with Python
by Robert Layton<P><P>Harness the power of Python to analyze data and create insightful predictive models <P><P>About This Book <P><P>Learn data mining in practical terms, using a wide variety of libraries and techniques <P><P>Learn how to find, manipulate, and analyze data using Python <P><P>Step-by-step instructions on creating real-world applications of data mining techniques <P><P>Who This Book Is For <P><P>If you are a programmer who wants to get started with data mining, then this book is for you. <P><P>What You Will Learn <P><P>Apply data mining concepts to real-world problems <P><P>Predict the outcome of sports matches based on past results <P><P>Determine the author of a document based on their writing style <P><P>Use APIs to download datasets from social media and other online services <P><P>Find and extract good features from difficult datasets <P><P>Create models that solve real-world problems <P><P>Design and develop data mining applications using a variety of datasets <P><P>Set up reproducible experiments and generate robust results <P><P>Recommend movies, online celebrities, and news articles based on personal preferences <P><P>Compute on big data, including real-time data from the Internet <P><P>In Detail <P><P>The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. <P><P>This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems. <P><P>There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK. <P><P>Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.
Learning Data Mining with Python - Second Edition
by Robert LaytonHarness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models. About This Book • Use a wide variety of Python libraries for practical data mining purposes. • Learn how to find, manipulate, analyze, and visualize data using Python. • Step-by-step instructions on data mining techniques with Python that have real-world applications. Who This Book Is For If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected. What You Will Learn • Apply data mining concepts to real-world problems • Predict the outcome of sports matches based on past results • Determine the author of a document based on their writing style • Use APIs to download datasets from social media and other online services • Find and extract good features from difficult datasets • Create models that solve real-world problems • Design and develop data mining applications using a variety of datasets • Perform object detection in images using Deep Neural Networks • Find meaningful insights from your data through intuitive visualizations • Compute on big data, including real-time data from the internet In Detail This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations. Style and approach This book will be your comprehensive guide to learning the various data mining techniques and implementing them in Python. A variety of real-world datasets is used to explain data mining techniques in a very crisp and easy to understand manner.
Learning Data Mining with R
by Bater MakhabelThis book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.
Learning Django Web Development
by Sanjeev Jaiswal Ratan KumarThis book is for web developers who want to get started with Django for web development. Basic knowledge of Python programming is required but no knowledge of Django is expected.
Learning Docker
by Jeeva S. Chelladhurai Pethuru RajIf you are an application developer who wants to learn Docker in order to utilize its features for application deployment, then this book is for you. No prior knowledge of Docker is required.
Learning Docker
by Pethuru Raj Jeeva S. Chelladhurai Vinod Singh<P><P>Optimize the power of Docker to run your applications quickly and easily <P><P>About This Book <P><P>Learn to compose, use, and publish the Docker containers <P><P>Leverage the features of Docker to deploy your existing applications <P><P>Explore real world examples of securing and managing Docker containers <P><P>Who This Book Is For <P><P>If you are an application developer who wants to learn Docker in order to utilize its features for application deployment, then this book is for you. No prior knowledge of Docker is required. <P><P>What You Will Learn <P><P>Build a Docker image using Dockerfiles <P><P>Push and publish images on Docker Hub <P><P>Run your own private Docker Hub and upload images onto it <P><P>Create and run services inside a container to deploy your applications with ease <P><P>Share data between the Docker host and containers <P><P>Orchestrate multiple containers with Docker Compose <P><P>Test and debug applications inside a Docker container <P><P>Secure your Docker containers with SELinux <P><P>In Detail <P><P>Docker is a next-generation platform for simplifying application containerization life-cycle. Docker allows you to create a robust and resilient environment in which you can generate portable, composable, scalable, and stable application containers. <P><P>This book is a step-by-step guide that will walk you through the various features of Docker from Docker software installation to the impenetrable security of containers. The book starts off by elucidating the installation procedure for Docker and a few troubleshooting techniques. You will be introduced to the process of downloading Docker images and running them as containers. You'll learn how to run containers as a service (CaaS) and also discover how to share data among containers. Later on, you'll explore how to establish the link between containers and orchestrate containers using Docker Compose. You will also come across relevant details about application testing inside a container. You will discover how to debug a container using the docker exec command and the nsenter tool. Finally, you will learn how to secure your containers with SELinux and other proven methods.
Learning Dynamics NAV Patterns: Create Solutions That Are Easy To Maintain, Quick To Upgrade, And Follow Proven Concepts And Designs
by Mark BrummelCreate solutions that are easy to maintain, quick to upgrade, and follow proven concepts and designs About This Book * Design software that is maintainable outside the ecosystem of their creators * Ensure quality by following patterns that have been proved to work * Over two dozen practical Architectural and Design patterns Who This Book Is For Learning Dynamics NAV Patterns is intended for developers, architects, (technical) consultants, and application managers. You may have very little or no knowledge about NAV patterns, but you should be acquainted with programming. What You Will Learn * Apply object-oriented practices to C/AL programming * Structure your application to avoid merge conflicts * Refactor legacy code and avoid anti-patterns * Design decision trees to decide when to use which patterns * Clone codes and their application in Dynamics NAV * Make your application extensible by creating predefined hooks and facades In Detail Microsoft Dynamics NAV is a complete ERP system, which also contains a robust set of development tools to support customization and enhancement. These include an object designer for each of the seven application object types, a business application oriented programming language with .NET interface capability, a compiler, a debugger, and programming testing language support. Learning Dynamics NAV Patterns will guide you through the NAV way of solving problems. This book will first introduce you to patterns and the software architecture of the NAV and then help you to build an example application. Then, it walks you through the details of architectural patterns, design patterns, and implementation patterns. This book will also talk about anti-patterns and handling legacy code. Finally, it teaches you to build solutions using patterns. Proven patterns and best practices will help you create better solutions that are easy to maintain in larger teams across several locations. It will guide you through combining abstract patterns using easy-to-understand examples and will help you decide which patterns to use in which scenarios. Style and approach This book explains the concepts of patterns, code structuring, and object-oriented concepts in a way that is easy to understand for Dynamics NAV specialists through practical examples.
Learning ECMAScript 6
by Narayan PrustyIf you are a JavaScript developer with basic development, and now want to learn about the latest features in order to develop better client-side programs with JavaScript, then this book is for you.
Learning Elixir
by Kenny BallouUnveil many hidden gems of programming functionally by taking the foundational steps with ElixirAbout This BookExplore the functional paradigms of programming with Elixir through use of helpful examplesConcise step-by-step instructions to teach you difficult technical conceptsBridge the gap between functional programming and ElixirWho This Book Is ForThis book targets developers new to Elixir, as well as Erlang, in order to make them feel comfortable in functional programming with Elixir, thus enabling them to develop more scalable and fault-tolerant applications.Although no knowledge of Elixir is assumed, some programming experience with mainstream Object-Oriented programming languages such a Ruby, Python, Java, C# would be beneficial.What You Will LearnExplore Elixir to create resilient, scalable applicationsCreate fault-tolerant applicationsBecome better acquainted with Elixir code and see how it is structured to build and develop functional programsLearn the basics of functional programmingGain an understanding of effective OTP principlesDesign program-distributed applications and systemsWrite and create branching statements in ElixirLearn to do more with less using Elixir's metaprogrammingBe familiar with the facilities Elixir provides for metaprogramming, macros, and extending the Elixir languageIn DetailElixir, based on Erlang's virtual machine and ecosystem, makes it easier to achieve scalability, concurrency, fault tolerance, and high availability goals that are pursued by developers using any programming language or programming paradigm. Elixir is a modern programming language that utilizes the benefits offered by Erlang VM without really incorporating the complex syntaxes of Erlang.Learning to program using Elixir will teach many things that are very beneficial to programming as a craft, even if at the end of the day, the programmer isn't using Elixir. This book will teach you concepts and principles important to any complex, scalable, and resilient application. Mostly, applications are historically difficult to reason about, but using the concepts in this book, they will become easy and enjoyable. It will teach you the functional programing ropes, to enable them to create better and more scalable applications, and you will explore how Elixir can help you achieve new programming heights. You will also glean a firm understanding of basics of OTP and the available generic, provided functionality for creating resilient complex systems. Furthermore, you will learn the basics of metaprogramming: modifying and extending Elixir to suite your needs.Style and approach An exploration of functional programming and Elixir with easy to follow examples using Elixir and the functional style. All the topics, concepts, and principles covered are clearly and concisely explained with either code examples or in depth discussions, or both!
Learning ELK Stack
by Saurabh ChhajedBuild mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana About This Book * Solve all your data analytics problems with the ELK stack * Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash * Develop a complete data pipeline using the ELK stack Who This Book Is For If you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book. What You Will Learn * Install, configure, and run Elasticsearch, Logstash, and Kibana * Understand the need for log analytics and the current challenges in log analysis * Build your own data pipeline using the ELK stack * Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides * Build your own custom Logstash plugin * Create actionable insights using charts, histograms, and quick search features in Kibana4 * Understand the role of Elasticsearch in the ELK stack In Detail The ELK stack--Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You'll move on to building a basic data pipeline using the ELK stack. Next, you'll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components. Style and approach This book is a step-by-step guide, complete with various examples to solve your data analytics problems by using the ELK stack to explore and visualize data.
Learning Embedded Linux Using the Yocto Project
by Alexandru VaduvaIf you are a Yocto and Linux enthusiast who wants to build embedded Linux systems but do not have the knowledge to do it, this is the book for you. It will also help those of you who have a bit of knowledge about Linux and the embedded world and are keen on learning more about the technology. This book will provide you with the skills needed to successfully interact with the Yocto Project components regardless of the fact that you are new to embedded development or an expert.
Learning Ext JS - Fourth Edition
by Villa Crysfel Carlos A. MendezIf you are a JavaScript developer who now wants to use the Ext JS framework, this is the book for you. This guide is useful to you whether you're new to Ext JS 5 or are a seasoned expert.<P><P> Experience in HTML, CSS, and JavaScript is required in order to understand and get the most out of this book.
Learning F# Functional Data Structures and Algorithms
by Adnan MasoodIf you have just started your adventure with F#, then this book will help you take the right steps to become a successful F# coder. An intermediate knowledge of imperative programming concepts, and a basic understanding of the algorithms and data structures in .NET environments using the C# language and BCL (Base Class Library), would be helpful.
Learning Firefox OS Application Development
by Tanay PantLearn to design, build, and deploy your Firefox OS applications, built with web technologies, to the Firefox Marketplace About This Book * Create beautiful and interactive Firefox OS applications by applying your knowledge of web development * Cater your applications to a huge number of users by porting them to the Firefox OS * A step-by-step learning workflow with real-life applications to demonstrate the concepts Who This Book Is For This is a practical guide that uses hands-on examples to teach you how to create applications for Firefox OS and also how to port applications to Firefox Marketplace. This book is intended for developers who want to build applications for Firefox OS. An understanding of HTML5, JavaScript, and CSS is required. What You Will Learn * Install, use, and access the Firefox OS simulator with the help of WebIDE * Get to know about application manifest files and the essential difference between web applications and Firefox OS applications * Create an application that measures the tapping speed of the user * Create an application that allows a user to check in at a place with geolocation tagging * Access device-specific features with WebAPIs and implement these by building a photo editing and sharing application * Submit your own applications to the Firefox Marketplace and share them with others * Professionally maintain the code of your application with the help of Github and deploy your hosted applications to OpenShift In Detail With broad compatibility, the latest in web technologies, and powerful development tools, Firefox is a great choice for both web developers and end users. Firefox OS's promotion of HTML5 as a first class citizen opens up the walled gardens of mobile application development for web developers. It is because of this initiative that no special SDKs are required to develop for Firefox OS. This book will help you excel in the art of developing applications for Firefox OS. It sequentially covers knowledge building, skills acquisition, and practical applications. Starting with an introduction to Firefox OS, usage of WebIDE, and then the application structure, this book introduces applications of increasing complexity with each chapter. An application that measures your tapping speed, a geolocation tagging application, and a photo editing and sharing application are the three applications that will be built from scratch. You will learn about topics such as the difference between various types of Firefox OS applications, application manifest files, offline apps, and designing principles for applications. You will also learn to test and submit the applications to the marketplace and finally maintain the repository of the Firefox OS application. By the end, you will be able to develop beautifully designed, fully-fledged, and rigorously tested Firefox OS applications and also share them at the Firefox OS Marketplace. Style and approach This book is an easy-to-grasp workflow with practical examples of real-world applications such as Clickr, Check In!, and FotoFox. Each chapter explains the concepts, which are then reinforced as they are demonstrated in an application or a flowchart.
Learning Flask Framework
by Charles Leifer Matt CopperwaiteBuild dynamic, data-driven websites and modern web applications with Flask About This Book * Discover the most popular Flask resources on the web with ease * Familiarize yourself with third-party libraries commonly used with Flask * Create a fast, interactive, and secure web app with this hands-on guide Who This Book Is For This book is for anyone who wants to develop their knowledge of Python into something that can be used on the web. Flask follows the Python design principles and can be easily understood by anyone who knows Python, and even by those who do not. What You Will Learn * Create your web pages to add modularity and flexibility to your web app using templates * Store and retrieve relational data using SQLAlchemy * Develop schema migrations with Alembic * Produce an admin section using flask-admin * Build RESTful APIs using Flask-Restless * Simulate requests and sessions using the Flask test client * Make Ajax requests from Jinja2 templates In Detail Flask is a small and powerful web development framework for Python. It does not presume or force a developer to use a particular tool or library. Flask supports extensions that can add application features as if they were implemented in Flask itself. Flask's main task is to build web applications quickly and with less code. With its lightweight and efficient web development framework, Flask combines rapid development and clean, simple design. This book will take you through the basics of learning how to apply your knowledge of Python to the web. Starting with the creation of a "Hello world" Flask app, you will be introduced to the most common Flask APIs and Flask's interactive debugger. You will learn how to store and retrieve blog posts from a relational database using an ORM and also to map URLs to views. Furthermore, you will walk through template blocks, inheritance, file uploads, and static assets. You will learn to authenticate users, build log in/log out functionality, and add an administrative dashboard for the blog. Moving on, you will discover how to make Ajax requests from the template and see how the Mock library can simplify testing complex interactions. Finally, you will learn to deploy Flask applications securely and in an automated, repeatable manner, and explore some of the most popular Flask resources on the web. Style and approach A comprehensive guide packed with real-world examples and popular use cases; starting with basic overviews and diving into the practical aspects of Flask Framework.
Learning Force.com Application Development
by Chamil MadusankaIf you are a developer who wants to learn how to develop and deploy applications from the Salesforce.com platform, then this book is for you. No prior knowledge of Salesforce is necessary.
Learning Hadoop 2
by Garry Turkington Gabriele ModenaIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
Learning Haskell Data Analysis
by James ChurchIf you are a developer, analyst, or data scientist who wants to learn data analysis methods using Haskell and its libraries, then this book is for you. Prior experience with Haskell and a basic knowledge of data science will be beneficial.
Learning Heroku Postgres
by Patrick EspakeLearning Heroku Postgres is targeted at developers and database admins. Even if you're new to Heroku Postgres, you'll be able to master both the basic as well as advanced features of Heroku Postgres. Since Heroku Postgres is incredibly user-friendly, no previous experience in computer coding or programming is required.
Learning Hunk
by Sergey Sheypak Dmitry AnoshinVisualize and analyze your Hadoop data using Hunk About This Book * Explore your data in Hadoop and NoSQL data stores * Create and optimize your reporting experience with advanced data visualizations and data analytics * A comprehensive developer's guide that helps you create outstanding analytical solutions efficiently Who This Book Is For If you are Hadoop developers who want to build efficient real-time Operation Intelligence Solutions based on Hadoop deployments or various NoSQL data stores using Hunk, this book is for you. Some familiarity with Splunk is assumed. What You Will Learn * Deploy and configure Hunk on top of Cloudera Hadoop * Create and configure Virtual Indexes for datasets * Make your data presentable using the wide variety of data visualization components and knowledge objects * Design a data model using Hunk best practices * Add more flexibility to your analytics solution via extended SDK and custom visualizations * Discover data using MongoDB as a data source * Integrate Hunk with AWS Elastic MapReduce to improve scalability In Detail Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond typical data analysis methods and gives you the power to rapidly detect patterns and find anomalies across petabytes of raw data. This book focuses on exploring, analysing, and visualizing big data in Hadoop and NoSQL data stores with this powerful full-featured big data analytics platform. You will begin by learning the Hunk architecture and Hunk Virtual Index before moving on to how to easily analyze and visualize data using Splunk Search Language (SPL). Next you will meet Hunk Apps which can easy integrate with NoSQL data stores such as MongoDB or Sqqrl. You will also discover Hunk knowledge objects, build a semantic layer on top of Hadoop, and explore data using the friendly user-interface of Hunk Pivot. You will connect MongoDB and explore data in the data store. Finally, you will go through report acceleration techniques and analyze data in the AWS Cloud. Style and approach A step-by-step guide starting right from the basics and deep diving into the more advanced and technical aspects of Hunk.
Learning Hyper-V
by Vinicius R. ApolinarioThis book focuses on readers starting their journey with Hyper-V, and assumes they have minimal or no knowledge of virtualization.