Serverless Architectures on AWS

Serverless Architectures on AWS teaches you how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. Forewords by Patrick Debois (Founder of devopsdays) and Dr. Donald F. Ferguson (Columbia University).

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Backbone.js Cookbook

There is no doubt that the superior rendering power of HTML5, thin-to-thick client transition and REST style communication created a new era in web development, replacing the outdated approach based on browser plugin technologies. Backone.js allows developers to write lightweight, modular, and scalable JavaScript applications.

Backbone.js Cookbook contains a series of recipes that provide practical, step-by-step solutions to the problems that may occur during frontend application development using an MVC pattern. You will learn how to build Backbone applications utilizing the power of popular Backbone extensions and integrating your app with different third party libraries. You will also learn how to fulfill the requirements of the most challenging tasks.

The first chapter of the book introduces you to the MVC paradigm and teaches you how to architect rich Internet applications operating with basic concepts of Backbone.js. During the reading of this book you will learn how to solve challenging problems leveraging Backbone objects such as models, collections, views, routers, and so on.

You learn how to use forms, layouts, templating engines, and other Backbone extensions, which will help you to complete specific features of your application. You will understand how to bind a model to a DOM element. You will see how perfectly Backbone.js integrates with third party libraries and frameworks such as jQuery, Zepto, Underscore.js, Require.js, Mustache.js, Twitter Bootstrap, jQueryMobile, PhoneGap and many others. This book will guide you in how to optimize and test your applications, create your own Backbone extensions, and share them with the open source community.

With the help of Backbone.js Cookbook, you will learn everything you need to know to create outstanding rich Internet applications using the JavaScript programming language.

What you will learn from this book

  • Architecting and building dynamic web applications in an MVC style
  • Modeling business logic with Backbone models and collections
  • Rendering data with Backbone views
  • Routing URLs within your application
  • Communicating with a RESTful service
  • Using HTML5 local storage to store models and collections
  • Optimizing and testing Backbone applications
  • Writing your own Backbone extensions
  • Ensuring compatibility with search engines
  • Creating mobile apps with jQueryMobile and PhoneGap

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Beginning Swift Games Development for iOS

Learn the fundamental elements of the new Swift 3 programming language as applied to game development for new iOS 10.

In Part 1 of this book, you’ll start with a basic 2D game idea and build the game throughout the book introducing each SpriteKit topic as you add new functionality to the game. By the end of the book, you’ll have experience with all the important SpriteKit topics and have a fully functional game as a result. In Part 2, you’ll learn 3D game development using Apple’s SceneKit framework and the Swift programming language, following the same pattern used for Part 1.

Game apps are one of the most popular categories in the Apple iTunes App Store. In response, James Goodwill and Wesley Matlock bring you Beginning Swift Games Development for iOS, Third Edition an update to their best-selling work. After reading and using this book, you’ll have the skills and the code to build your first 2D and then 3D game app that you can run on any iOS-enabled device.

What you’ll learn

    • Discover what’s in the new Swift 3 programming language
    • Apply Swift 3 to iOS 10 and 9 game development
    • Build a 2D game app using SpriteKit and Swift
    • Build a 3D game from 2D using SceneKit and Swift

Who this book is for

iOS app developers new to Swift or for those thinking of trying iOS game app development for the very first time.

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Raspberry Pi Supercomputing and Scientific Programming

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.
Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming.
The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using linear algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home.
What You Will Learn
  • Discover the essentials of supercomputing
  • Build a low-cost cluster of Raspberry Pis at home
  • Harness the power of parallel programming and the Message Passing Interface (MPI)
  • Use your Raspberry Pi for symbolic, numerical, and scientific programming
Who This Book Is For
Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.

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Machine Learning in Action

Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You’ll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

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