Change the way your organization deploys software at scale with this face paced guide to the world of Docker About This Book Cut through the noise and in simple terms learn to package your applications and test, ship, and scale your containers Find and build images and successfully run your programs within containers Build, deploy, and test your Docker containers and put them to work in production Who This Book Is For This book is for IT professionals, system administrators, and DevOps professionals or anyone looking to quickly develop and deploy software to production at scale. If you are interested in Docker, DevOps, or containers in general, don’t look any further. What You Will Learn Understand Docker’s architecture Build, ship, and run distributed applications Deploy, automate, and manage the execution of applications within Docker Scale and virtualize images and containers Utilize the networking features that Docker offers Use repositories to store and retrieve images In Detail This fast-paced practical guide will get you up and running with Docker. Using Docker, you will be able to build, ship, and run many distributed applications in real time. You will start with quickly installing Docker and start working with images and containers. We will present different types of containers and their applications, and show you how to find and build images. You will learn how you can contribute to the image repository by publishing different images. This will familiarize you with the image building process and you will be able to successfully run your programs within containers. By finishing this book, you will be well equipped in deploying your applications using Docker and will have a clear understanding of concepts, techniques, and practical methods to get it running in production systems. Style and approach This book takes a fast-paced practical approach that quickly gets you up and running with Docker so that you spend less time learning and more time deploying Docker containers effectively. This book contains a mix of concepts, practical examples, techniques, and the most up-to-date content to run things effectively in production. We’ll show you the easiest way to speed up your development and deployment with Docker.

Develop your real-time MEAN application efficiently using a combination of MongoDB, Express, Angular, and Node About This Book Construct a fully-functional MEAN application by using its components along with the best third-party modules Harness the power of the JavaScript ecosystem to effectively run, build, and test your MEAN application Gain a deep, practical understanding of real-time web application development through real-world examples Who This Book Is For If you are a JavaScript developer who is interested in building modern web applications using MongoDB, Express, Angular 2, and Node 5.0, then this book is for you. You only need knowledge of JavaScript development. What You Will Learn Use MongoDB to store and retrieve your application's data Connect your Express application to MongoDB and use the Mongoose module Manage your users' authentication and offer them diverse login options using Passport Structure and use an Angular 2 application in your MEAN project Use Socket.io to create real-time communication between your client and server Test your application's Express and Angular 2 entities In Detail The MEAN stack is a collection of the most popular modern tools for web development that helps you build fast, robust, and maintainable web applications. Starting with the MEAN core frameworks, this pragmatic guide will explain the key concepts of each framework, how to set them up properly, and how to use popular modules to connect it all together. By following the real-world examples shown in this tutorial, you will scaffold your MEAN application architecture, add an authentication layer, and develop an MVC structure to support your project development. You will learn the best practices of maintaining clear and simple code and will see how to avoid common pitfalls. Finally, you will walk through the different tools and frameworks that will help expedite your daily development cycles. Watch how your application development grows by learning from the only guide that is solely orientated towards building a full, end-to-end, real-time application using the MEAN stack! Style and approach This comprehensive guide covers every part of the MEAN stack, and focuses on the gestalt power of the apps they can create through practical, real-world examples

A comprehensive and in-depth guide to writing functional programs using F# About This Book Learn how to manage, run, and automate your servers using Puppet Explore how to use F# to develop large-scale applications quickly and simply, and become more productive in today’s age of cloud computing and multi-core programming This easy-to-follow guide is packed with real-world examples that will jump-start you with F# development on the .NET platform Who This Book Is For If you are a C# developer with a basic knowledge of F# and want to explore the functional programming paradigm further to master your F# skills, then this book is for you. What You Will Learn Understand the basics of F# and organize F# source code with Visual Studio Work with F# data structures and create functional data structures in F# interoperate with C# Build and use asynchronous programming patterns with F# Create and use type providers that help perform data analysis from within Visual Studio Develop applications with pure F# code in WPF or ASP.NET MVC Find out how to perform distributed programming with ServiceBus or ZeroMQ Visualize data with charts, and work with Excel and R language Type providers In Detail F# is a multi-paradigm programming language that encompasses object-oriented, imperative, and functional programming language properties. Now adopted in a wide range of application areas and is supported both by industry-leading companies who provide professional tools and by an active open community, F# is rapidly gaining popularity as it emerges in digital music advertising, creating music-focused ads for Spotify, Pandora, Shazam, and anywhere on the web. This book will guide you through the basics and will then help you master F#. The book starts by explaining how to use F# with Visual Studio, file ordering, and the differences between F# and C# in terms of usage. It moves on to explain the functional core of F# such as data types, type declarations, immutability, strong type interference, pattern matching, records, F# data structures, sequence expressions, and lazy evaluation. Next, the book takes you through imperative and asynchronous programming, F# type providers, applications, and testing in F#. Finally, we look into using F# with distributed programming and using F# as a suitable language for data science. In short, this book will help you learn F# for real-world applications and increase your productivity with functional programming. Style and approach This easy-to-follow guide with syntaxes will help you master the concepts of F#. Packed with in-depth examples of real-world uses, this book covers each topic in detail with a reference to C#, so you will understand the difference between the languages.

Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programmingThis book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional settingWon’t we end up copying too muchDo we trade performance for versioned data structuresThis book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you’ll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.

Over 80 object-oriented recipes to help you create mind-blowing GUIs in Python About This Book Use object-oriented programming to develop amazing GUIs in Python Create a working GUI project as a central resource for developing your Python GUIs Packed with easy-to-follow recipes to help you develop code using the latest released version of Python Who This Book Is For If you are a Python programmer with intermediate level knowledge of GUI programming and want to learn how to create beautiful, effective, and responsive GUIs using the freely available Python GUI frameworks, this book is for you. What You Will Learn Create amazing GUIs with Python’s built-in Tkinter module Customize the GUIs by using layout managers to arrange the GUI widgets Advance to an object-oriented programming style using Python Develop beautiful charts using the free Matplotlib Python module Use threading in a networked environment to make the GUIs responsive Discover ways to connect the GUIs to a database Understand how unit tests can be created and internationalize the GUI Extend the GUIs with free Python frameworks using best practices In Detail Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a *ing language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Its flexible syntax enables developers to write short *s while at the same time, they can use object-oriented concepts to develop very large projects. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book uses the simplest programming style, using the fewest lines of code to create a GUI in Python, and then advances to using object-oriented programming in later chapters. If you are new to object-oriented programming (OOP), this book will teach you how to take advantage of the OOP coding style in the context of creating GUIs written in Python. Throughout the book, you will develop an entire GUI application, building recipe upon recipe, connecting the GUI to a database. In the later chapters, you will explore additional Python GUI frameworks, using best practices. You will also learn how to use threading to ensure your GUI doesn’t go unresponsive. By the end of the book, you will be an expert in Python GUI programming to develop a common set of GUI applications. Style and approach Every recipe in this programming cookbook solves a problem you might encounter in your programming career. At the same time, most of the recipes build on each other to create an entire, real-life GUI application.

Master the development of 2D games by learning to use the powerful GameMaker Language and tools provided by the GameMaker: Studio workspace and engine! About This Book Rapidly develop games using the powerful yet easy easy-to to-use GameMaker: Studio engine Comprehensive: This is a comprehensive guide to help you learn and implement GameMaker’s features. Go through step-by-step tutorials to design and develop unique games Who This Book Is For If you have at least some basic programming experience of JavaScript or any other C-like languages, then this book will be great for you. No experience beyond that is assumed. If you have no game development experience and are looking for a hobby, are an experienced game developer looking to master some advanced features, or fit anywhere in that spectrum, then you will find GameMaker: Studio and this book to be very useful in helping you create exciting games. What You Will Learn Understand the GameMaker: Studio interface and tools to quickly create the various assets used in your games Translate some of the GameMaker: Studio drag and drop functions to the GameMaker language Create games with random elements for exciting gameplay Use the basic GameMaker file I/O and encryption systems Utilize the GameMaker networking functions to create multiplayer games Give AI routines to your enemies to make challenging gameplay Create particle systems to give your game exciting graphics Understand the various debugging techniques available in GameMaker: Studio In Detail This book is excellent resource for developers with any level of experience of GameMaker. At the start, we’ll provide an overview of the basic use of GameMaker: Studio, and show you how to set up a basic game where you handle input and collisions in a top-down perspective game. We continue on to showcase its more advanced features via six different example projects. The first example game demonstrates platforming with file I/O, followed by animation, views, and multiplayer networking. The next game illustrates AI and particle systems, while the final one will get you started with the built-in Box2D physics engine. By the end of this book, you have mastered lots of powerful techniques that can be utilized in various 2D games. Style and approach A This step-by-step guide that follows and with details ons different topics throughout the creation of various examples.

Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions About This Book Create reports and stunning dashboards with MongoDB data Accelerate data access and maximize productivity with unique features of Pentaho for MongoDB A step-by-step recipe-based guide for making full use of Pentaho suite tools with MongoDB Who This Book Is For This book is intended for data architects and developers with a basic level of knowledge of MongoDB. Familiarity with Pentaho is not expected. What You Will Learn Extract, load, and transform data from MongoDB collections to other datasources Design Pentaho Reports using different types of connections for MongoDB Create a OLAP mondrian schema for MongoDB Explore your MongoDB data using Pentaho Analyzer Utilize the drag and drop web interface to create dashboards Use Kettle Thin JDBC with MongoDB for analysis Integrate advanced dashboards with MondoDB using different types of connections Publish and run a report on Pentaho BI server using a web interface In Detail MongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. Whether you are brand new to online learning or a seasoned expert, this book will provide you with the skills you need to create turnkey analytic solutions that deliver insight and drive value for your organization. The book will begin by taking you through Pentaho Data Integration and how it works with MongoDB. You will then be taken through the Kettle Thin JDBC Driver for enabling a Java application to interact with a database. This will be followed by exploration of a MongoDB collection using Pentaho Instant view and creating reports with MongoDB as a datasource using Pentaho Report Designer. The book will then teach you how to explore and visualize your data in Pentaho BI Server using Pentaho Analyzer. You will then learn how to create advanced dashboards with your data. The book concludes by highlighting contributions of the Pentaho Community. Style and approach A comprehensive, recipe-based guide to take complete advantage of the Pentaho Analytics for MongoDB.

Harness the power of VMware vRealize Operations to efficiently manage your IT infrastructure About This Book Extract the optimum performance, availability, and capacity of your IT infrastructure with the help of vRealise Operations Manager Leverage the power of strategic reports to drive tactful decision-making within the IT department A pragmatic guide to proficiently manage your applications and storage Who This Book Is For If you are a vSphere administrator and wish to optimize your virtual environment, this book is your go-to guide on vRealize Operations. As a vSphere administrator, it is assumed that you have a good understanding of both physical and virtual infrastructure. A basic knowledge of application monitoring and log analysis would be useful when we dive into the capabilities of the solution. What You Will Learn Architect, design, and install vRealize Operations Migrate from the previous vCenter Operations Manager 5.x version, configure vR Ops policies, and create custom groups Use out-of-the-box Dashboards, Views, and Reports and create your own customized Dashboards, Views, and Reports Apply the Alerting framework of Symptoms, Recommendations, and Actions, and create your own Alerting content Leverage the power of Capacity Planning to maximize the utilization of your virtual infrastructure Manage the rest of your infrastructure, including storage and applications, with vRealize Operations Management Packs Extend the solution with vRealize Hyperic and Log Insight In Detail This book will enable you to deliver on the operational disciplines of Performance, Health, Capacity, Configuration, and Compliance by making the best use of solutions provided by vRealize Operations. Starting with architecture, design, and sizing, we will ensure your implementation of vRealize Operations is a success. We will dive into the utilization of a solution to manage your vSphere infrastructure. Then, we will employ out-of-the-box Dashboards and the very powerful Views and Reporting functionality of vRealize Operations to create your custom dashboards and address your reporting requirements. Next, we go through the Alerting framework and how Symptoms, Recommendations, and Actions are used to achieve efficient operations. Later you will master the topic of Capacity Planning, where we look at how important it is to craft appropriate policies to match your requirements, and we’ll consider attitude toward capacity risk, which will aid you to build future project requirements into your capacity plans. Finally, we will look at extending the solution to manage Storage, Applications, and other IT infrastructures using Management Packs from Solution Exchange, as well as how the solution can be enhanced with the integration of Log Insight. Style and approach This book is a pragmatic, step-by-step guide that will quickly build your knowledge of the key capabilities of vRealize Operations. As well as learning about the solution, we will provide you with real-world examples that will help you customize and enhance your virtual environment.

Master performance optimization for Unity3D applications with tips and techniques that cover every aspect of the Unity3D EngineAbout This BookOptimize CPU cycles, memory usage, and GPU throughput for any Unity3D applicationMaster optimization techniques across all Unity Engine features including Scripting, Asset Management, Physics, Graphics Features, and ShadersA practical guide to exploring Unity Engine's many performance-enhancing methodsWho This Book Is ForThis book is intended for intermediate and advanced Unity developers who have experience with most of Unity’s feature-set, and who want to maximize the performance of their game. Familiarity with the C# language will be needed.What You Will LearnUse the Unity Profiler to find bottlenecks anywhere in our application, and discover how to resolve themImplement best-practices for C# *ing to avoid common pitfallsDevelop a solid understanding of the rendering pipeline, and maximize its performance through reducing draw calls and avoiding fill rate bottlenecksEnhance shaders in a way that is accessible to most developers, optimizing them through subtle yet effective performance tweaksKeep our scenes as dynamic as possible by making the most of the Physics engineOrganize, filter, and compress our art assets to maximize performance while maintaining high qualityPull back the veil on the Mono Framework and the C# Language to implement low-level enhancements that maximize memory usage and avoid garbage collectionGet to know the best practices for project organization to save time through an improved workflowIn DetailCompetition within the gaming industry has become significantly fiercer in recent years with the adoption of game development frameworks such as Unity3D. Through its massive feature-set and ease-of-use, Unity helps put some of the best processing and rendering technology in the hands of hobbyists and professionals alike. This has led to an enormous explosion of talent, which has made it critical to ensure our games stand out from the crowd through a high level of quality. A good user experience is essential to create a solid product that our users will enjoy for many years to come.Nothing turns gamers away from a game faster than a poor user-experience. Input latency, slow rendering, broken physics, stutters, freezes, and crashes are among a gamer’s worst nightmares and it’s up to us as game developers to ensure this never happens. High performance does not need to be limited to games with the biggest teams and budgets.Initially, you will explore the major features of the Unity3D Engine from top to bottom, investigating a multitude of ways we can improve application performance starting with the detection and analysis of bottlenecks. You’ll then gain an understanding of possible solutions and how to implement them. You will then learn everything you need to know about where performance bottlenecks can be found, why they happen, and how to work around them.This book gathers a massive wealth of knowledge together in one place, saving many hours of research and can be used as a quick reference to solve specific issues that arise during product development.Style and approachThis book is organized based on the major features of Unity engine and should be treated as a reference guide. It is written as a series of investigations into both common and unusual performance pitfalls, each including a study on why the bottleneck is causing us problems, and a list of enhancements or features that can be used to work around them. Differences in effectiveness, behaviors, or feature-sets between Unity 4.x and Unity 5.x will be highlighted.

Learn to solve scientific computing problems using Scala and its numerical computing, data processing, concurrency, and plotting libraries About This Book Parallelize your numerical computing code using convenient and safe techniques. Accomplish common high-performance, scientific computing goals in Scala. Learn about data visualization and how to create high-quality scientific plots in Scala Who This Book Is For Scientists and engineers who would like to use Scala for their scientific and numerical computing needs. A basic familiarity with undergraduate level mathematics and statistics is expected but not strictly required. A basic knowledge of Scala is required as well as the ability to write simple Scala programs. However, complicated programming concepts are not used in the book. Anyone who wants to explore using Scala for writing scientific or engineering software will benefit from the book. What You Will Learn Write and read a variety of popular file formats used to store scientific data Use Breeze for linear algebra, optimization, and digital signal processing Gain insight into Saddle for data analysis Use ScalaLab for interactive computing Quickly and conveniently write safe parallel applications using Scala's parallel collections Implement and deploy concurrent programs using the Akka framework Use the Wisp plotting library to produce scientific plots Visualize multivariate data using various visualization techniques In Detail Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain. We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform Style and approach Examples are provided on how to use Scala to do basic numerical and scientific computing tasks. All the concepts are illustrated with more involved examples in each chapter. The goal of the book is to allow you to translate existing experience in scientific computing to Scala.

Over 80 simple but creative and structured recipes to explore the capabilities of HTML5 Canvas About This Book Develop simple to advanced recipes of your own, and ultimately produce a great application Discover a better way to use HTML5 Canvas, JavaScript, and CSS Put your creative instincts to use in your day-to-day interface developments Who This Book Is For The book is intended for readers with a preliminary knowledge of JavaScript and CSS. Whether you're a beginner or expert in this technology, the book provides recipes to help you build your own application, presentation, or game. What You Will Learn Draw basic shapes such as lines, arcs, curves, and text using the coordinate system Learn about the animation cycle and use it to animate shapes Grasp the knowledge required to create particles and use them Give various effects to images and videos and also use them in animations Discover the use of event listeners to make recipes interactive and to handle events through event handlers Create good presentation graphics with graphs and charts Learn all about 3D development, from building 3D objects to animating them Convert your knowledge into a complete working game Understand the interoperability and deployment of recipes on different browsers and on different devices In Detail With the growing popularity of HTML5 Canvas, this book offers tailored recipes to help you develop portable applications, presentations, and games. The recipes are simple yet creative and build on each other. At every step, the book inspires the reader to develop his/her own recipe. From basic to advanced, every aspect of Canvas API has been covered to guide readers to develop their own application, presentation, or game. Style and approach All the recipes are sequential and cover the basic and advanced concepts of Canvas. Every recipe is as simple as possible without compromising creativity

If you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.

A complete practical and comprehensive tutorial with clear and step-by-step instructions along with many examples. It's packed with examples, code samples and practical tips in a no-nonsense way. This book is both for beginners and advanced web developers who need to create interactive charts for their web applications. It primarily targets JavaScript Web developers who want to use the Highcharts library to prepare interactive and professional-quality charts and graphs for their applications quickly and easily. Prior experience with JavaScript is assumed.

This book takes a hands-on, tutorial-style approach that walks you step -by -step through 10 individual projects that each focus on producing a specific, real-world product or application. This book is aimed primarily at front-end developers, preferably already with a little jQuery experience, or those people that simply want to build on their existing skills with jQuery.

This book is for you if you have some experience with Java and web development (not necessarily in Java) and want to become proficient quickly with Spring.

Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations and code samples.If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.

The book is a collection of easy to follow, practical recipes with explanations of the code, and links to further information. This book is for any security consultant, administrator or enthusiast looking to learn how to use and master Nmap and the Nmap Scripting Engine.

This book is great for developers who are new to Qt and Qt Creator and who are interested in harnessing the power of Qt for cross-platform development. If you have basic experience programming in C++, you have what it takes to create engaging cross-platform applications using Qt and Qt Creator!

This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial.

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.

If you are an intermediate to advanced DynamoDB developer looking to learn the best practices associated with efficient data modeling, this book is for you.