Intended to refresh the basics of Delphi as well as advance your knowledge to the next level, it is assumed you will know RAD studio and the Object Pascal language. However, if you are not an experienced RAD studio programmer this accessible guide will still develop those initial crucial skills.

This book is intended for educators who want to use Canvas to enhance their teaching or for educators whose institution has adopted Canvas as its learning management system. Whether you are brand new to online learning or you are a seasoned expert, you will be able to master both the basic functions and the advanced features of Canvas with this book.

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.

The book is ideal for programmers who have worked with C++ or other Windows-based programming languages. It provides developers with everything they need to build complex desktop applications using C++. If you have already learned the C++ language, and want to take your programming to the next level, then this book is ideal for you.

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This BookUnderstand the principles of Bayesian Inference with less mathematical equationsLearn state-of-the art Machine Learning methodsFamiliarize yourself with the recent advances in Deep Learning and Big Data frameworks with this step-by-step guide Who This Book Is For This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To understand this book, it would be useful if you have basic knowledge of probability theory and analytics and some familiarity with the programming language R.What You Will LearnSet up the R environmentCreate a classification model to predict and explore discrete variablesGet acquainted with Probability Theory to analyze random eventsBuild Linear Regression modelsUse Bayesian networks to infer the probability distribution of decision variables in a problemModel a problem using Bayesian Linear Regression approach with the R package BLRUse Bayesian Logistic Regression model to classify numerical dataPerform Bayesian Inference on massively large data sets using the MapReduce programs in R and Cloud computing In Detail Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results. Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R. Every chapter begins with a theoretical de*ion of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter. The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks.Style and approach The book first gives you a theoretical de*ion of the Bayesian models in simple language, followed by details of its implementation in the R package. Each chapter has illustrations for the use of Bayesian model and the corresponding R package, using data sets from the UCI Machine Learning repository. Each chapter also contains sufficient exercises for you to get more hands-on practice.

Over 90 recipes to help you build and run automated tests for your web applications with Selenium WebDriverAbout This BookLearn to leverage the power of Selenium WebDriver with simple examples that illustrate real-world problems and their workaroundsExplains the testing of mobile applications with Appium for mobile platforms such as iOS and AndroidA pragmatic manual with engaging recipes and attractive screenshots to test your web applications efficiently Who This Book Is For This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python and Ruby users.What You Will LearnUnderstand how the locators work and use various locator methods to build reliable testsBuild reliable and maintainable tests with the Selenium WebDriver APIUse the PageFactory pattern to build a robust and easy to maintain test frameworkBuild data-driven tests and extend Selenium API to implement custom steps and checksIntegrate and use ATDD/BDD tools such as Cucumber, SpecFlow, Capybara, and Behave with the Selenium WebDriver APISet up iPhone/iPad and Android simulators and devices to test your mobile web application with AppiumSet up Selenium Grid for faster and parallel running of tests, increasing test coverage and reducing test execution time for cross-browser testingBuild extended Selenium WebDriver tests for additional coverage In Detail This book is an incremental guide that will help you learn and use the advanced features of the Selenium toolset including the WebDriver API in various situations to build a reliable test automation. You start off by setting up the test development environment and gain tips on the advanced locater strategy and the effective use of the Selenium WebDriver API. After that, the use of design patterns such as data - driven tests and PageFactory are demonstrated. You will then be familiarised with extending Selenium WebDriver API by implementing custom tasks and setting up your own distributed environment to run tests in parallel for cross-browser testing. Finally, we give you some tips on integrating Selenium WebDriver with other popular tools and testing mobile applications. By the end of this book, you will have learned enough to solve complex testing issues on your own.Style and approach This recipe-based guide covers real-life scenarios of testing your web apps with Selenium. Each recipe begins with a short introduction and key concepts along with illustrated examples of use cases, and ends with detailed but informative de*ions of the inner workings of the example.

Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipesAbout This BookImplement Scala in your data analysis using features from Spark, Breeze, and ZeppelinScale up your data anlytics infrastructure with practical recipes for Scala machine learningRecipes for every stage of the data analysis process, from reading and collecting data to distributed analytics Who This Book Is For This book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis.What You Will LearnFamiliarize and set up the Breeze and Spark libraries and use data structuresImport data from a host of possible sources and create dataframes from CSVClean, validate and transform data using Scala to pre-process numerical and string dataIntegrate quintessential machine learning algorithms using Scala stackBundle and scale up Spark jobs by deploying them into a variety of cluster managersRun streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala and Spark.

Sharpen your skills in Swift by designing and deploying seven fully functional applicationsAbout This BookDevelop a variety of iOS-compatible applications that range from health and fitness to utilities using this project-based handbookDiscover ways to make the best use of the latest features in Swift to build on a wide array of applicationsFollow step-by-step instructions to create Swift apps oriented for the real world Who This Book Is For If you are a competent iOS developer who wants to develop stunning applications with Swift, then this book is for you. Familiarity with Swift programming is assumed.What You Will LearnGet to grips with the basics of Xcode and Swift for application developmentCreate a Photo Sharing application to capture an image, edit it using different features and share it via social media.Develop applications using the WatchKit and exchange data between iPhone and the WatchUse advanced features such as SpriteKit to build a gameInstall third-party Swift frameworks to improvise on your application developmentDiscover how to simulate home automation with HomeKitBuild an application to monitor the user's weight, heart rate and the number of steps for Health Historic AnalysisManipulate media using AVFoundation framework to merge audio and video. In Detail In this book, you will work through seven different projects to get you hands-on with developing amazing applications for iOS devices. We start off with a project that teaches you how to build a utility app using Swift. Moving on, we cover the concepts behind developing an entertainment or social networking related application, for example, a small application that helps you to share images, audio, and video files from one device to another. You’ll also be guided through create a city information app with customized table views, a reminder app for the Apple Watch, and a game app using SpriteKit. By the end of this book, you will have the required skillset to develop various types of iOS applications with Swift that can run on different iOS devices. You will also be well versed with complex techniques that can be used to enhance the performance of your applications.Style and approach This book takes a step-by-step approach to help you build apps from scratch and learn the methodology to develop real-time applications using Swift.

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.

A step by step guide with detailed examples.Experienced Flash AS3 programmers who are making the switch to Java* and HTML5.

Presented in a simple, step-by-step format, this book is an introduction to web development with Node.This book is for anybody looking for an alternative to the "P" languages (Perl, PHP, Python), or anyone looking for a new paradigm of server-side application development.The reader should have at least a rudimentary understanding of JavaScript and web application development.

SFML Game Development is a fast-paced, step-by-step guide, providing you with all the knowledge and tools you need to create your first game using SFML 2.0.SFML Game Development addresses ambitious C++ programmers who want to develop their own game. If you have plenty of ideas for an awesome and unique game, but don’t know how to start implementing them, then this book is for you. The book assumes no knowledge about SFML or game development, but a solid understanding of C++ is required.

If you are a C# developer who wants to develop Android apps and enhance your existing skill set, then this book is ideal for you. Good working knowledge of C#, .NET, and object-oriented software development is assumed.

If you are a Java developer with experience in developing applications with Spring, then this book is perfect for you. A good working knowledge of Spring programming conventions and applying dependency injections is recommended to make the most of this book.

This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.

If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.

If you're an application developer familiar with SQL databases such as MySQL or Postgres, and you want to explore distributed databases such as Cassandra, this is the perfect guide for you. Even if you've never worked with a distributed database before, Cassandra's intuitive programming interface coupled with the step-by-step examples in this book will have you building highly scalable persistence layers for your applications in no time.

This book is for programmers who want to expand their skills by building fun, smart, and useful systems with OpenCV. The projects are ideal in helping you to think creatively about the uses of computer vision, natural user interfaces, and ubiquitous computers (in your home, car, and hand).