Learn to code like a professional with Python – an open source, versatile, and powerful programming language About This Book Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portability Create outstanding applications of all kind, from websites to *ing, and from GUIs to data science Who This Book Is For Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, *ing, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper In Detail Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approach This book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge.

Learn and explore the fundamentals of data analysis with power of Mathematica About This Book Use the power of Mathematica to analyze data in your applications Discover the capabilities of data classification and pattern recognition offered by Mathematica Use hundreds of algorithms for time series analysis to predict the future Who This Book Is For The book is for those who want to learn to use the power of Mathematica to analyze and process data. Perhaps you are already familiar with data analysis but have never used Mathematica, or you know Mathematica but you are new to data analysis. With the help of this book, you will be able to quickly catch up on the key points for a successful start. What You Will Learn Import data from different sources to Mathematica Link external libraries with programs written in Mathematica Classify data and partition them into clusters Recognize faces, objects, text, and barcodes Use Mathematica functions for time series analysis Use algorithms for statistical data processing Predict the result based on the observations In Detail There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel. Style and approach This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.

Master the advanced concepts of game development for iOS to build impressive games About This Book Create a complete game with advanced techniques through the course of the book using in-depth, hands-on instructions Learn how to multi-task and improve performance optimization in your game playing experience The author, Miguel, has 11 years of iOS game development using xcode and has released over 10 games to the Apple AppStoreMaster player movement using touch controls as well as discuss motion controls Who This Book Is For This book is for those who have created an iOS game already and want to hone their skills. A reasonable level of knowledge and an understanding of the core elements and applications would be helpful. What You Will Learn Blast off and start developing fun games Optimize the assets for the best performance in the game app Master player movement using touch controls as well as discuss motion controls Perform bug Squashing by testing and debugging Design interesting various characters and enemies for your game Test your game on both, the simulator on the computer and on real devices Tweak and fine tune the code and graphics before the release of your app Uncover some awesome new gameplay by adding in multiplayer elements, to get more people playing together In Detail iOS is an operating system for Apple manufactured phones and tablets. Mobile gaming is one of the fastest-growing industries, and compatibility with iOS is now becoming the norm for game developers. SpriteKit is part of the native SDK from Apple, and enables developers to make simple entry into game development without unnecessary overhead and a long learning process. SpriteKit also provides other functionality that is useful for games, including basic sound playback support and physics simulation. In addition, Xcode provides built-in support for SpriteKit so that you can create complex special effects and texture atlases directly in Xcode. This combination of framework and tools makes SpriteKit a good choice for games and other apps that require similar kinds of animation. Become a master in iOS game development through this fast and fun guide! In the beginning, we’ll tell you everything you need to plan and design your game. You’ll then start developing your game through step-by-step instructions using the various built-in technologies of Xcode. From there on, we discuss how to deploy your game to the iOS App Store, as well as monetizing it to make more revenue. You will also learn advanced techniques to improve your game playing experience, including better multi-tasking, improved performance optimization, battery management, and more. To end the book off, we’ll show you how to update your game with different features, then port the update to the App Store. Style and approach This book provides an easy-to-understand and fun approach to game development, with step-by-step instructions and detailed explanation of each block of code. The topics covered range from easy to advanced, so buckle up for a fast-paced ride!

This book is targeted at expert programmers in JavaScript who want to learn Dart quickly. Some previous experience with OOP programming in other languages and a good knowledge of JavaScript are assumed.

Whether you are a hobbyist or a professional, this book will get you fully equipped to resolve the most commonly occurring media-related challenges. If you want to expand your horizons beyond lighting an LED and push the limits of your board, this is just the book for you. Working knowledge of BeagleBone is assumed.

This book is for users experienced with game development who now want to learn how to develop games in GameMaker: Studio in a fast-paced way.

If you are a programmer, visual artist, or designer with experience in creative coding, and want to use openFrameworks to create fun, stunning, and interactive applications, this is the book for you. Basic knowledge of programming languages, such as C++, Java, Python, or JavaScript, will be enough to proceed with the book.

If you are a .NET developer who wants to eliminate the problems related to defective third-party web service integration or batch job failures, then this is the book for you. It is also perfect for those of you who are new to NServiceBus and service-oriented architecture and would like to learn how you can streamline all of your development efforts.

If you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.

If you are an experienced JavaScript developer who wants to improve the design of his or her applications, or find yourself in a situation to implement an application in an unfamiliar domain, this book is for you. Prior knowledge of JavaScript is required and prior experience with Node.js will also be helpful.

If you work on Java projects, use Gradle as a build automation tool, and you use dependencies in your project, this is the book for you. Additionally, if you want to deploy your project artifacts as dependencies for other developers using Gradle, you've found the right book.

If you are a beginner to intermediate Puppet engineer looking for guidance to help fix problems with your Puppet deployments, this book is for you.

If you are an experienced system administrator and know how to manage servers and set up web environments but now want to explore Moodle, this book is perfect for you. You'll get to grips with the basics and learn to manage Moodle quickly, focusing on essential tasks. Having prior knowledge of virtual learning environments would be beneficial, but is not mandatory to make the most of this book.

If you are a competent JavaScript developer who wants to design and implement tests using Jasmine in order to minimize bugs in the production environment, then this book is ideal for you. Some familiarity with unit testing and code coverage concepts such as branch coverage along with basic knowledge of Node.js, AngularJS, and CoffeeScript is required.

If you are a developer who has knowledge of Ext JS but would like to expand it to encompass the bigger picture of application development, then this book is ideal for you.

This book is intended for users with some knowledge of the Elixir language syntax and basic data types/structures. Although this is a cookbook and no sequential reading is required, the book’s structure will allow less advanced users who follow it to be gradually exposed to some of Elixir’s features and concepts specific to functional programming. To get the most out of this book, you need to be well versed with Erlang.

If you are a Java developer, an experienced Java Swing, Flash/Flex, SWT, or web developer looking to take your client-side applications to the next level, this book is for you.

This hands-on tutorial, filled with exercises and examples, introduces the reader to a variety of concepts within Pentaho Reporting. With screenshots that show you how reports look at design time as well as how they should look when rendered as PDF, Excel, or HTML, this book also contains complete example source code that you can copy and paste into your environment to get up and running quickly. This book is primarily written for Java developers who want to assemble custom reporting solutions with Pentaho Reporting. Their main interest is in the technical details of creating reports and they want to see how to solve common report problems with a minimum of fuss; they do not need an overview of BI or the importance of reporting. Secondary audiences of this book are IT professionals who need to install a reporting solution in their environment, and want to learn advanced concepts within Pentaho Reporting such as sub-reports, cross-tabs, data source configuration, and metadata-based reporting.

Step-by-step instructions are included and the needs of a beginner are totally satisfied by the book. The book consists of plenty of examples with accompanying screenshots and code for an easy learning curve. You are a web developer with knowledge of server side *ing, and have experience with installing applications on the server. You have a desire to want more than Google maps, by offering dynamically built maps on your site with your latest geospatial data stored in MySQL, PostGIS, MsSQL or Oracle. If this is the case, this book is meant for you.

Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with basic Numpy skills to the next level through some practical recipes.