Taking a recipebased approach, this book presents numerous practical examples that you can use directly in your applications. The book covers the essential issues you will face while developing your web applications and gives you solutions to them. The recipes in this book are written in a manner that rapidly takes you from beginner to expert level. This book is for web developers of all skill levels. Although some knowledge of JavaScript, HTML, and CSS is required, this Cookbook will teach jQuery newcomers all the basics required to move on to the more complex examples of this book, which will benefit the more seasoned jQuery developer. If you want to learn how to create modern website features quickly, using best practice techniques, then this book is for you.

This book is written by a gamer, for a gamer to guide just about anything with Source SDK giving a firm grasp of all the tools it has to offer using stepbystep explanations. If you’re a keen gamer who wants a bit more out of your favorite game and create your own modifications (mods) and levels with the Source engine, this book is great for you. No programming and Source SDK experience is required.

This book is aimed at developers and technical testers who are looking for a quick way to take their SoapUI skills and understanding to the next level. Even if you are new to SoapUI but have basic Java skills and a reasonable grasp of RESTFul and Soap web services, then you should have no problem making use of this book.

If you have already undertaken some simple projects with the Raspberry Pi and are looking to enter the exciting work of hardware interaction, then this book is ideal for you.

This book is for everybody who would like to learn modern Java web development based on PrimeFaces and is looking for a quick introduction to this matter. Prerequisites for this book are basic JSF, jQuery, and CSS skills.

This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.

This book is for system engineers and administrators who have a fundamental understanding of information management systems and infrastructure. It helps if you've already played around with Chef; however, this book covers all the important topics you will need to know. If you don't want to dig through a whole book before you can get started, this book is for you, as it features a set of independent recipes you can try out immediately.

Written as a practical, step-by-step tutorial, Creating HTML5 Apps with SproutCore is full of engaging examples to help you learn in a practical context.This book is for any person looking to write software for the Web or already writing software for the Web. Whether your background is in web development or in software development, Creating HTML5 Apps with SproutCore will help you expand your skills so that you will be ready to apply the software development principles in the web development space.

This book is written in Cookbook style with a lot of practical tips, code, and step-by-step examples, to ease and quicken your learning curve. If you are a beginner with jQuery/JavaScript skills, this book offers you numerous examples to get you started. If you are a seasoned developer, this book lets you explore jQuery Mobile in greater depth.

"Getting Started with Talend Open Studio for Data Integration" takes a step-by-step, hands-on approach to learning with lots of examples and clear instructions. Are you a developer, business analyst, project manager, business intelligence specialist, system architect or a consultant who needs to undertake integration projects, then this book is for you. The book assumes a certain level of familiarity with Relational database management systems with SQL and experience and Java.

Written in a step by step tutorial style, learning comes as a result of creating a complete dance music track, along with the explanations that follow each stage. You have a computer and a love for dance and electronic music. Maybe you’ve been to some clubs, and the energy of electronic dance music has you completely under its spell. You see a DJ spinning, and everyone is dancing. It’s infectious. You want to make music that affects people that way. Today the open source community has offered you LMMS. Read this book, and you’ll be shown a process to creating great dance music. This book is going to connect the dots if you have already started making dance music, and provide a very solid foundation if you are just getting started – no matter what your skill level is.

This cookbook follows a problem-solution approach to doing important tasks and is packed with examples accompanied by the necessary code and screenshots. If you are a GIS-related professional with some basic knowledge of web technologies and want to start or gain in-depth knowledge of creating web mapping applications, this book is written for you. The recipes are appropriately mixed to suit JavaScript newbies or experts and cover basic to advanced topics on OpenLayers.

As part of Packt’s cookbook series, this book is packed with practical recipes that will get you working efficiently with Node from the start. Each chapter focuses on a different aspect of working with Node. If you have some knowledge of JavaScript and want to build fast, efficient, scalable client-server solutions, then Node Cookbook is for you. Experienced users of Node will improve their skills although even if you have not worked with Node before, these practical recipes will make it easy to get started.

Accompanied by plenty of tips and tricks, this tutorial style book has ample examples and screenshots to ease your learning curve. If you use Prezi in business and want to take your presentations to the next level, or if you want to become the office Prezi guru, this book is for you.

Each chapter follows the creation of a social networking application with step-by-step instructions. This means that you will have easily created a complete, working application by the end of the book. This book is for beginner and intermediate PHP developers interested in using CouchDB development in their projects. Advanced PHP developers will appreciate the familiarity of the PHP architecture and can easily learn how to incorporate CouchDB into their existing development experiences.

This book is a step-by-step tutorial that includes complete source code for all of the examples covered. Every chapter builds on top of the previous one thereby giving the reader an immediate feeling of progression. Each block of code is explained, and 3D web development concepts are diagrammed and covered in detail. This book is written for JavaScript developers who are interested in 3D web development. A basic understanding of the DOM object model and the jQuery library is ideal but not required. No prior WebGL knowledge is expected.

Over 50 hands-on recipes to help you build exhilarating games using the robust GameMaker system About This Book Design and develop game elements that can be used alone or stacked to enhance your gaming experience Explore extensions that can unlock GameMaker: Studio’s true potential to create complex games A recipe-based, easy-to-follow guide to take your GameMaker skills to the next level Who This Book Is For This book is intended for GameMaker: Studio enthusiasts who are looking to add more substance and improve their content. If know your way around the program and have some basic GML skills but want to take them further, then this book is for you. What You Will Learn Set up player control schemes of various types, such as touch controls and a gamepad Create your own physics sandbox Get accustomed to advanced player movement Implement music and 3D sound in your games Utilize GameMaker’s GUI layers to create exciting games Generate adjustable game settings and save systems Add depth to your game with lighting and special effects In Detail GameMaker: Studio started off as a tool capable of creating simple games using a drag-and-drop interface. Since then, it has grown to become a powerful instrument to make release-ready games for PC, Mac, mobile devices, and even current-gen consoles. GameMaker is designed to allow its users to develop games without having to learn any of the complex programming languages such as C++ or Java. It also allows redistribution across multiple platforms. This book teaches you to harness GameMaker: Studio’s full potential and take your game development to new heights. It begins by covering the basics and lays a solid foundation for advanced GameMaker concepts. Moving on, it covers topics such as controls, physics, and advanced movement, employing a strategic approach to the learning curve. The book concludes by providing insights into complex concepts such as the GUI, menus, save system, lighting, particles, and VFX. By the end of the book, you will be able to design games using GameMaker: Studio and implement the same techniques in other games you intend to design. Style and approach A problem-solving guide that teaches you the construction of game elements and mechanics to be integrated in games for rapid prototyping. Each overall topic includes several individual recipes taught through step-by-step instructions, and in-depth follow-up with examples.

Secure your Linux machines and keep them secured with the help of exciting recipes About This Book This book provides code-intensive discussions with detailed recipes that help you understand better and learn faster. More than 50 hands-on recipes to create and administer a secure Linux system locally as well as on a network Enhance file system security and local and remote user authentication by using various security tools and different versions of Linux for different tasks Who This Book Is For Practical Linux Security Cookbook is intended for all those Linux users who already have knowledge of Linux File systems and administration. You should be familiar with basic Linux commands. Understanding Information security and its risks to a Linux system is also helpful in understanding the recipes more easily. However, even if you are unfamiliar with Information security, you will be able to easily follow and understand the recipes discussed. Since Linux Security Cookbook follows a practical approach, following the steps is very easy. What You Will Learn Learn about various vulnerabilities and exploits in relation to Linux systems Configure and build a secure kernel and test it Learn about file permissions and security and how to securely modify files Explore various ways to authenticate local users while monitoring their activities. Authenticate users remotely and securely copy files on remote systems Review various network security methods including firewalls using iptables and TCP Wrapper Explore various security tools including Port Sentry, Squid Proxy, Shorewall, and many more Understand Bash vulnerability/security and patch management In Detail With the growing popularity of Linux, more and more administrators have started moving to the system to create networks or servers for any task. This also makes Linux the first choice for any attacker now. Due to the lack of information about security-related attacks, administrators now face issues in dealing with these attackers as quickly as possible. Learning about the different types of Linux security will help create a more secure Linux system. Whether you are new to Linux administration or experienced, this book will provide you with the skills to make systems more secure. With lots of step-by-step recipes, the book starts by introducing you to various threats to Linux systems. You then get to walk through customizing the Linux kernel and securing local files. Next you will move on to manage user authentication locally and remotely and also mitigate network attacks. Finally, you will learn to patch bash vulnerability and monitor system logs for security. With several screenshots in each example, the book will supply a great learning experience and help you create more secure Linux systems. Style and approach An easy-to-follow cookbook with step-by-step practical recipes covering the various Linux security administration tasks. Each recipe has screenshots, wherever needed, to make understanding more easy.

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book 54 useful and practical tasks to improve working systems Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing to standard data ports, and so on Offers 10-15 real-life, practical improvements for each user type Who This Book Is For This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the plunge into statistical computing will find this Cookbook particularly indispensable. What You Will Learn Familiarize yourself with the latest advanced R console features Create advanced and interactive graphics Manage your R project and project files effectively Perform reproducible statistical analyses in your R projects Use RStudio to design predictive models for a specific domain-based application Use RStudio to effectively communicate your analyses results and even publish them to a blog Put yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data product In Detail The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications. Style and approach RStudio is an open source Integrated Development Environment (IDE) for the R platform. The R programming language is used for statistical computing and graphics, which RStudio facilitates and enhances through its integrated environment. This Cookbook will help you learn to write better R code using the advanced features of the R programming language using RStudio. Readers will learn advanced R techniques to compute the language and control object evaluation within R functions. Some of the contents are: Accessing an API with R Substituting missing values by interpolation Performing data filtering activities R Statistical implementation for Geospatial data Developing shiny add-ins to expand RStudio functionalities Using GitHub with RStudio Modelling a recommendation engine with R Using R Markdown for static and dynamic reporting Curating a blog through RStudio Advanced statistical modelling with R and RStudio

Statistics, big data, and machine learning for Clojure programmers About This Book Write code using Clojure to harness the power of your data Discover the libraries and frameworks that will help you succeed A practical guide to understanding how the Clojure programming language can be used to derive insights from data Who This Book Is For This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you’re tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities–and inform you of the risks–that exist in data of all shapes and sizes. What You Will Learn Perform hypothesis testing and understand feature selection and statistical significance to interpret your results with confidence Implement the core machine learning techniques of regression, classification, clustering and recommendation Understand the importance of the value of simple statistics and distributions in exploratory data analysis Scale algorithms to web-sized datasets efficiently using distributed programming models on Hadoop and Spark Apply suitable analytic approaches for text, graph, and time series data Interpret the terminology that you will encounter in technical papers Import libraries from other JVM languages such as Java and Scala Communicate your findings clearly and convincingly to nontechnical colleagues In Detail The term “data science” has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a *ing language with the speed of a compiled language. Together with its rich ecosystem of native libraries and an extremely simple and consistent functional approach to data manipulation, which maps closely to mathematical formula, it is an ideal, practical, and flexible language to meet a data scientist’s diverse needs. Taking you on a journey from simple summary statistics to sophisticated machine learning algorithms, this book shows how the Clojure programming language can be used to derive insights from data. Data scientists often forge a novel path, and you’ll see how to make use of Clojure’s Java interoperability capabilities to access libraries such as Mahout and Mllib for which Clojure wrappers don’t yet exist. Even seasoned Clojure developers will develop a deeper appreciation for their language’s flexibility! You’ll learn how to apply statistical thinking to your own data and use Clojure to explore, analyze, and visualize it in a technically and statistically robust way. You can also use Incanter for local data processing and ClojureScript to present interactive visualisations and understand how distributed platforms such as Hadoop sand Spark’s MapReduce and GraphX’s BSP solve the challenges of data analysis at scale, and how to explain algorithms using those programming models. Above all, by following the explanations in this book, you’ll learn not just how to be effective using the current state-of-the-art methods in data science, but why such methods work so that you can continue to be productive as the field evolves into the future. Style and approach This is a practical guide to data science that teaches theory by example through the libraries and frameworks accessible from the Clojure programming language.

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world’s leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you’ll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.