Algorithms: Part I, 4th Edition
This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing - including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. ...
This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing - including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. ...
Algorithms: Part II, 4th Edition
This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing - including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. ...
This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing - including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. ...
Learning React Native, 2nd Edition
Get a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers - apps that can access platform features such as the camera, user location, and local storage. Through code examples and step-by-step instructions, web developers and frontend engineers familiar with React will learn how to build and style interfaces, use mobile components, and debug and deploy apps. You'll learn how to extend React Native using third-party libraries or your own Java and Objective-C libraries. Understand how React Native works under the hood with native UI components; Examine how React Native's mobile-based components compare to basic HTML elements; Create and style your own React Native components and applications; Take advantage of platform-specific APIs, as well as mod ...
Get a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers - apps that can access platform features such as the camera, user location, and local storage. Through code examples and step-by-step instructions, web developers and frontend engineers familiar with React will learn how to build and style interfaces, use mobile components, and debug and deploy apps. You'll learn how to extend React Native using third-party libraries or your own Java and Objective-C libraries. Understand how React Native works under the hood with native UI components; Examine how React Native's mobile-based components compare to basic HTML elements; Create and style your own React Native components and applications; Take advantage of platform-specific APIs, as well as mod ...
Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services
Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services shows you how to build cross-platform iOS and Android apps without learning Objective-C or Java. With detailed guidance given toward using the Titanium Mobile Platform and Appcelerator Cloud Services, you will quickly develop the skills to build real, native apps - not web apps - using existing HTML, CSS, and JavaScript know-how. This guide takes you step-by-step through the creation of a photo-sharing app that leverages the power of Appcelerator's cloud platform, and establishes fundamental concepts before adding advanced techniques. Coverage extends beyond the development process to include expert advice for deployment on the App Store or Google Play, and more. ...
Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services shows you how to build cross-platform iOS and Android apps without learning Objective-C or Java. With detailed guidance given toward using the Titanium Mobile Platform and Appcelerator Cloud Services, you will quickly develop the skills to build real, native apps - not web apps - using existing HTML, CSS, and JavaScript know-how. This guide takes you step-by-step through the creation of a photo-sharing app that leverages the power of Appcelerator's cloud platform, and establishes fundamental concepts before adding advanced techniques. Coverage extends beyond the development process to include expert advice for deployment on the App Store or Google Play, and more. ...
D Cookbook
D is a modern programming language that uses the familiar C family syntax while offering advanced modeling capabilities, safety guarantees, programmer productivity, and high efficiency. It helps you to get the most out of your hardware and your programmers simultaneously, saving both development and deployment costs. This practical guide will walk you through getting the work done with D, from writing your first program to writing advanced autogenerated objects, with notes based on real-world experiences telling you about potential pitfalls and how to avoid them. You'll use some of the third-party libraries available for D to get code working fast, including access to database engines, image processing, and more. ...
D is a modern programming language that uses the familiar C family syntax while offering advanced modeling capabilities, safety guarantees, programmer productivity, and high efficiency. It helps you to get the most out of your hardware and your programmers simultaneously, saving both development and deployment costs. This practical guide will walk you through getting the work done with D, from writing your first program to writing advanced autogenerated objects, with notes based on real-world experiences telling you about potential pitfalls and how to avoid them. You'll use some of the third-party libraries available for D to get code working fast, including access to database engines, image processing, and more. ...
Git in Practice
Git in Practice is a collection of 66 tested techniques that will optimize the way you and your team manage your development projects. The book begins with a brief reminder of the core version control concepts you need when using Git and moves on to the high-value features you may not have explored yet. Then, you'll dig into cookbook-style techniques like history visualization, advanced branching and rewriting history each presented in a problem-solution-discussion format. Finally you'll work out how to use Git to its full potential through configuration, team workflows, submodules and using GitHub pull requests effectively. ...
Git in Practice is a collection of 66 tested techniques that will optimize the way you and your team manage your development projects. The book begins with a brief reminder of the core version control concepts you need when using Git and moves on to the high-value features you may not have explored yet. Then, you'll dig into cookbook-style techniques like history visualization, advanced branching and rewriting history each presented in a problem-solution-discussion format. Finally you'll work out how to use Git to its full potential through configuration, team workflows, submodules and using GitHub pull requests effectively. ...
MATLAB Matrix Algebra
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. ...
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. ...
PhantomJS Cookbook
Beginning with the basics of PhantomJS, this book will dive into its core modules and guide you through how to solve real-world testing problems. This book explores a variety of test automation tasks, including executing JavaScript unit tests with the Jasmine, QUnit, and Mocha frameworks; functional tests with tools such as Selenium, Capybara, and CasperJS; performance analysis with tools such as YSlow; and much more. If you are a web developer looking to run automated unit tests while you work, or perhaps you are a QA engineer looking for a fast test automation utility, then this book is perfect for you. Some prior knowledge of JavaScript would be helpful. ...
Beginning with the basics of PhantomJS, this book will dive into its core modules and guide you through how to solve real-world testing problems. This book explores a variety of test automation tasks, including executing JavaScript unit tests with the Jasmine, QUnit, and Mocha frameworks; functional tests with tools such as Selenium, Capybara, and CasperJS; performance analysis with tools such as YSlow; and much more. If you are a web developer looking to run automated unit tests while you work, or perhaps you are a QA engineer looking for a fast test automation utility, then this book is perfect for you. Some prior knowledge of JavaScript would be helpful. ...
PhpStorm Cookbook
PhpStorm is a commercial, cross-platform IDE for PHP. It provides an intelligent editor for PHP, HTML, and JavaScript with on-the-fly code analysis and automated refactoring for PHP and JavaScript code. In this book, you will learn about accessing project files, maximizing and reordering views, and editors. Going ahead, you will learn how to access elements, search code, compare files, and integrate frameworks. After gaining in-depth knowledge of testing and debugging, you will learn about PHP development, refactoring and building applications with ease of handling, and integrating frameworks. You will also test and debug them using PhpStorm and then learn how to use Phing and plugins. By the end of this book, you will have learned all about Phing and cooking plugins. ...
PhpStorm is a commercial, cross-platform IDE for PHP. It provides an intelligent editor for PHP, HTML, and JavaScript with on-the-fly code analysis and automated refactoring for PHP and JavaScript code. In this book, you will learn about accessing project files, maximizing and reordering views, and editors. Going ahead, you will learn how to access elements, search code, compare files, and integrate frameworks. After gaining in-depth knowledge of testing and debugging, you will learn about PHP development, refactoring and building applications with ease of handling, and integrating frameworks. You will also test and debug them using PhpStorm and then learn how to use Phing and plugins. By the end of this book, you will have learned all about Phing and cooking plugins. ...
Practical Data Science Cookbook
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples in the two most popular programming languages for data analysis - R and Python. ...
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples in the two most popular programming languages for data analysis - R and Python. ...