Create complex websites quickly and easily using the building blocks of Drupal 8, the most powerful version of Drupal yetAbout This BookBuild complete, complex websites with no prior knowledge of web development entirely using the intuitive Drupal user interfaceFollow a practical case study chapter-by-chapter to construct a complete website as you progressEnsure your sites are modern, responsive and mobile-friendly through utilizing the full features available in Drupal 8Who This Book Is ForIf you want to learn to use Drupal 8 for the first time, or you are transitioning over from a previous version of Drupal, this is the book for you. No knowledge of PHP, MySQL, or HTML is assumed or requiredWhat You Will LearnSet up a local “stack” development environment and install your first Drupal 8 siteFind out what is available in Drupal 8 coreDefine content types and taxonomies—and find out when you should do soUse the powerful Views moduleGet hands-on with image and media handlingExtend Drupal using custom community modulesDevelop the look and feel of your website using Drupal themesManage site users and permissionsIn DetailDrupal 8 sets a new standard for ease of use, while offering countless new ways to tailor and deploy your content to the Web. Drupal 8 allows user to easily customize data structures, listings, and pages, and take advantage of new capabilities for displaying data on mobile devices, building APIs, and adapting to multilingual needs.The book takes you step by step through building a Drupal 8 website. Start with the basics, such as setting up a local “stack” development environment and installing your first Drupal 8 site, then move on to image and media handling, and extending Drupal modules. Push your knowledge by getting to grips with the modular nature of Drupal, and learning to extend it by adding new functionalities to create your new modules. By the end of the book, you will be able to develop and manage a modern and responsive website using Drupal.Style and approachThis is an absolute beginners’ guide, providing step-by-step instructions to help you learn Drupal 8 from scratch.

Learn the fundamentals of vRealize Automation to accelerate the delivery of your IT servicesAbout This BookLearn to install the vRealize Automation product in a distributed architecture using a load balancerPlan backup and recovery strategies for every vRealize automation componentUse vRealize Automation to manage applications and improve operational efficiency using this simple and intuitive guideWho This Book Is ForThis book is for anyone who wants to start their journey with vRealize Automation. It is your one-stop instruction guide to installing and configuring a distributed setup using NSX load balancer. Regardless of whether or not you have used vRealize Automation before, following the steps provided in each chapter will get you started with the product.What You Will LearnUnderstand the basic building blocks of vRealize Automation before embarking on the journey of installationFamiliarize yourself with the requirements and steps that need to be performed during the first phase of the distributed installationCarry out a functional validation of the first phase of installation before completing the installationBuild a blueprint for vSphere endpoint, an essential step for a successful deployment of a service catalogCreate, configure, and deploy tenants, endpoints, blueprints, and the service catalogGet to grips with the failover process for all components in vRealize AutomationLearn to configure the NSX loadbalancer for vRealize Orchestrator for high availabilityLeverage ASD to develop XaaS (Anything as a Service) in vRealize Automation to deliver valuable competenceIn DetailWith the growing interest in Software Defined Data Centers (SDDC), vRealize Automation offers data center users an organized service catalog and governance for administrators. This way, end users gain autonomy while the IT department stays in control, making sure security and compliance requirements are met. Learning what each component does and how they dovetail with each other will bolster your understanding of vRealize Automation.The book starts off with an introduction to the distributed architecture that has been tested and installed in large scale deployments. Implementing and configuring distributed architecture with custom certificates is unarguably a demanding task, and it will be covered next. After this, we will progress with the installation. A vRealize Automation blueprint can be prepared in multiple ways; we will focus solely on vSphere endpoint blueprint. After this, we will discuss the high availability configuration via NSX loadbalancer for vRealize Orchestrator. Finally, we end with Advanced Service Designer, which provides service architects with the ability to create advanced services and publish them as catalog items.Style and approachThis book takes a step-by-step approach, is explained in a conversational and easy-to-follow style, and includes ample screenshots . Each topic is explained sequentially through planning, preparing, installing, configuring, and validating of all vRealize Automation’s components.

Over 80 hands-on recipes to improve your skills in project management, team management, process improvement, and Redmine administrationAbout This BookEfficiently install and customize Redmine for your own infrastructure, whether that be Microsoft or open sourceManage multiple projects with multiple teams across the globe in a standardized and effective wayCustomize Redmine to fit your organisation's specific and unique needsWho This Book Is ForThis book is for those who working in management or administrator positions who are already using Redmine or are willing to start using it for project management, tracking, collaboration, or process management. Additionally, individual developers or teams can benefit from recipes related to code repositories, bug tracking, and software project management.What You Will LearnMake Redmine run on Microsoft SQL Server with IISEnjoy the benefits of updating the code on a real-time basis and maintaining consistencyManage multiple projects and teams simultaneouslyLeverage Redmine features to enhance team's performanceUse Redmine for SCRUM and Agile methodologiesDeploy Redmine for Service DeskCustomize the user experience by manually tracking the ongoing projectsExtend Redmine through various pluginsIn DetailIn a variety of online project management tools, Redmine markets itself as offering flexibility. Choosing the right management tool can mean the difference between the success and failure of a project. Flexible project management tools bend themselves to fit your needs, whether that’s communication regarding a simple project, or collaboration, or more complex project methodology such as SCRUM, or an issue-code relationship, or the need of different methodology for your project.Whether you are project manager or system administrator, this book provides valuable recipes to get the best possible performance out of your team, organization, infrastructure, and Redmine itself. Through a series of carefully crafted recipes covering the nitty-gritty of Redmine, you’ll be guided through the installation of Redmine, as well as how to fine-tune and customize your Redmine installation. Finally, we walk you through integrating Redmine with other softwares and databases like Tortoise SVN and Visual Studio and troubleshooting Redmine.Style and approachThis book follows a step-by-step recipe-based approach. Detailed prerequisites make each recipe easy to follow and apply in practice in any kind of live environment.

Learn the art of regression analysis with PythonAbout This BookBecome competent at implementing regression analysis in PythonSolve some of the complex data science problems related to predicting outcomesGet to grips with various types of regression for effective data analysisWho This Book Is ForThe book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science.What You Will LearnFormat a dataset for regression and evaluate its performanceApply multiple linear regression to real-world problemsLearn to classify training pointsCreate an observation matrix, using different techniques of data analysis and cleaningApply several techniques to decrease (and eventually fix) any overfitting problemLearn to scale linear models to a big dataset and deal with incremental dataIn DetailRegression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.Style and approach This is a practical tutorial-based book. You will be given an example problem and then supplied with the relevant code and how to walk through it. The details are provided in a step by step manner, followed by a thorough explanation of the math underlying the solution. This approach will help you leverage your own data using the same techniques.

Over 100 effective recipes to help you design, implement, and manage the software-defined and massively scalable Ceph storage systemAbout This BookImplement a Ceph cluster successfully and gain deep insights into its best practicesHarness the abilities of experienced storage administrators and architects, and run your own software-defined storage systemThis comprehensive, step-by-step guide will show you how to build and manage Ceph storage in production environmentWho This Book Is ForThis book is aimed at storage and cloud system engineers, system administrators, and technical architects who are interested in building software-defined storage solutions to power their cloud and virtual infrastructure. If you have basic knowledge of GNU/Linux and storage systems, with no experience of software defined storage solutions and Ceph, but eager to learn this book is for you.What You Will LearnUnderstand, install, configure, and manage the Ceph storage systemGet to grips with performance tuning and benchmarking, and gain practical tips to run Ceph in productionIntegrate Ceph with OpenStack Cinder, Glance, and nova componentsDeep dive into Ceph object storage, including s3, swift, and keystone integrationBuild a Dropbox-like file sync and share service and Ceph federated gateway setupGain hands-on experience with Calamari and VSM for cluster monitoringFamiliarize yourself with Ceph operations such as maintenance, monitoring, and troubleshootingUnderstand advanced topics including erasure coding, CRUSH map, cache pool, and system maintenanceIn DetailCeph is a unified, distributed storage system designed for excellent performance, reliability, and scalability. This cutting-edge technology has been transforming the storage industry, and is evolving rapidly as a leader in software-defined storage space, extending full support to cloud platforms such as Openstack and Cloudstack, including virtualization platforms. It is the most popular storage backend for Openstack, public, and private clouds, so is the first choice for a storage solution. Ceph is backed by RedHat and is developed by a thriving open source community of individual developers as well as several companies across the globe.This book takes you from a basic knowledge of Ceph to an expert understanding of the most advanced features, walking you through building up a production-grade Ceph storage cluster and helping you develop all the skills you need to plan, deploy, and effectively manage your Ceph cluster. Beginning with the basics, you’ll create a Ceph cluster, followed by block, object, and file storage provisioning. Next, you’ll get a step-by-step tutorial on integrating it with OpenStack and building a Dropbox-like object storage solution. We’ll also take a look at federated architecture and CephFS, and you’ll dive into Calamari and VSM for monitoring the Ceph environment. You’ll develop expert knowledge on troubleshooting and benchmarking your Ceph storage cluster. Finally, you’ll get to grips with the best practices to operate Ceph in a production environment.Style and approach This step-by-step guide is filled with practical tutorials, making complex scenarios easy to understand.

Build your own secure enterprise or home penetration testing lab to dig into the various hacking techniques About This Book Design and build an extendable penetration testing lab with wireless access suitable for home and enterprise use Fill the lab with various components and customize them according to your own needs and skill level Secure your lab from unauthorized access and external attacks Who This Book Is For If you are a beginner or a security professional who wishes to learn to build a home or enterprise lab environment where you can safely practice penetration testing techniques and improve your hacking skills, then this book is for you. No prior penetration testing experience is required, as the lab environment is suitable for various skill levels and is used for a wide range of techniques from basic to advance. Whether you are brand new to online learning or you are a seasoned expert, you will be able to set up your own hacking playground depending on your tasks. What You Will Learn Determine your needs and choose the appropriate lab components for them Build a virtual or hardware lab network Imitate an enterprise network and prepare intentionally vulnerable software and services Secure wired and wireless access to your lab Choose a penetration testing framework according to your needs Arm your own wireless hacking platform Get to know the methods to create a strong defense mechanism for your system In Detail Starting with the basics of wireless networking and its associated risks, we will guide you through the stages of creating a penetration testing lab with wireless access and preparing your wireless penetration testing machine. This book will guide you through configuring hardware and virtual network devices, filling the lab network with applications and security solutions, and making it look and work like a real enterprise network. The resulting lab protected with WPA-Enterprise will let you practice most of the attack techniques used in penetration testing projects. Along with a review of penetration testing frameworks, this book is also a detailed manual on preparing a platform for wireless penetration testing. By the end of this book, you will be at the point when you can practice, and research without worrying about your lab environment for every task. Style and approach This is an easy-to-follow guide full of hands-on examples and recipes. Each topic is explained thoroughly and supplies you with the necessary configuration settings. You can pick the recipes you want to follow depending on the task you need to perform.

Over 100 recipes to help you solve the most common problems faced by Android Developers today About This Book Find the answers to your common Android programming problems, from set up to security, to help you deliver better applications, faster Uncover the latest features of Android Marshmallow to make your applications stand out Get up to speed with Android Studio 1.4 - the first Android Studio based on the IntelliJ IDE from JetBrains Who This Book Is For If you are new to Android development and want to take a hands-on approach to learning the framework, or if you are an experienced developer in need of clear working code to solve the many challenges in Android development, you can benefit from this book. Either way, this is a resource you’ll want to keep at your desk for a quick reference to solve new problems as you tackle more challenging projects. What You Will Learn Along with Marshmallow, get hands-on working with Google’s new Android Studio IDE Develop applications using the latest Android framework while maintaining backward-compatibility with the support library Master Android programming best practices from the recipes Create exciting and engaging applications using knowledge gained from recipes on graphics, animations, and multimedia Work through succinct steps on specifics that will help you complete your project faster Keep your app responsive (and prevent ANRs) with examples on the AsynchTask class Utilize Google Speech Recognition APIs for your app. Make use of Google Cloud Messaging (GCM) to create Push Notifications for your users Get a better understanding of the Android framework through detailed explanations In Detail The Android OS has the largest installation base of any operating system in the world; there has never been a better time to learn Android development to write your own applications, or to make your own contributions to the open source community! This “cookbook” will make it easy for you to jump to a topic of interest and get what you need to implement the feature in your own application. If you are new to Android and learn best by “doing,” then this book will provide many topics of interest. Starting with the basics of Android development, we move on to more advanced concepts, and we’ll guide you through common tasks developers struggle to solve. The first few chapters cover the basics including Activities, Layouts, Widgets, and the Menu. From there, we cover fragments and data storage (including SQLite), device sensors, the camera, and GPS. Then we move on more advanced topics such as graphics and animation (including OpenGL), multi-threading with AsyncTask, and Internet functionality with Volley. We’ll also demonstrate Google Maps and Google Cloud Messaging (also known as Push Notifications) using the Google API Library. Finally, we’ll take a look at several online services designed especially for Android development. Take your application big-time with full Internet web services without having to become a server admin by leveraging the power of Backend as a Service (BaaS) providers. Style and approach This book progresses from the fundamentals of Android Development to more advanced concepts, with recipes to solve the most common problems faced by developers. This cookbook makes it easy to jump to specific topics of interest, where you’ll find simple steps to implement the solution and get a clear explanation of how it works.

Build and customize a wide range of powerful Unity AI systems with over 70 hands-on recipes and techniques About This Book Empower your agent with decision making capabilities using advanced minimaxing and Negamaxing techniques Discover how AI can be applied to a wide range of games to make them more interactive. Instigate vision and hearing abilities in your agent through collider based and graph based systems Who This Book Is For This book is intended for those who already have a basic knowledge of Unity and are eager to get more tools under their belt to solve AI and gameplay-related problems. What You Will Learn Use techniques such as A*and A*mbush to empower your agents with path finding capabilities. Create a representation of the world and make agents navigate it Construct decision-making systems to make the agents take different actions Make different agents coordinate actions and create the illusion of technical behavior Simulate senses and apply them in an awareness system Design and implement AI in board games such as Tic-Tac-Toe and Checkers Implement efficient prediction mechanism in your agents with algorithms such as N-Gram predictor and na?ve Bayes classifier Understand and analyze how the influence maps work. In Detail Unity 5 comes fully packaged with a toolbox of powerful features to help game and app developers create and implement powerful game AI. Leveraging these tools via Unity’s API or built-in features allows limitless possibilities when it comes to creating your game’s worlds and characters. This practical Cookbook covers both essential and niche techniques to help you be able to do that and more. This Cookbook is engineered as your one-stop reference to take your game AI programming to the next level. Get to grips with the essential building blocks of working with an agent, programming movement and navigation in a game environment, and improving your agent's decision making and coordination mechanisms - all through hands-on examples using easily customizable techniques. Discover how to emulate vision and hearing capabilities for your agent, for natural and humanlike AI behaviour, and improve them with the help of graphs. Empower your AI with decision-making functions through programming simple board games such as Tic-Tac-Toe and Checkers, and orchestrate agent coordination to get your AIs working together as one. Style and approach This recipe-based guide will take you through implementing various AI algorithms. Each topic is explained and placed among other related techniques, sometimes building on the knowledge from previous chapters. There are also references to more technical books and papers, so you can dig deeper if you want to.

Get to grips with object-oriented programming in Swift to efficiently build powerful real-world applicationsAbout This BookLeverage the most efficient object-oriented design patterns in your Swift applicationsWrite robust, safer, and better code using the blueprints that generate objectsBuild a platform with object-oriented code by using real-world elements and represent them in your appWho This Book Is ForIf you are an iOS developer who has a basic idea of object-oriented programming and want to incorporate its concepts with Swift to optimize your application's code and create reusable and easily to understand building blocks, then this book is for you. This is a very useful resource for developers who want to shift from Objective C, C#, Java, Python, JavaScript, or other object-oriented languages to SwiftWhat You Will LearnBuild solid, stable, and reliable applications using SwiftWork with encapsulation, abstraction, and polymorphism using Swift 2.0Customize constructors and destructors based on your needsDevelop Swift 2.0 with classes, instances, properties, and methodsTake advantage of generic code to maximize code reuse and generalize behaviorsUse state of inheritance, specialization, and the possibility to overload membersWrite high quality object-oriented code to build apps for iOS or Mac OS XIn DetailObject-Oriented Programming (OOP) is a programming paradigm based on the concept of objects; these are data structures that contain data in the form of fields, often known as attributes and code. Objects are everywhere, and so it is very important to recognize elements, known as objects, from real-world situations and know how they can easily be translated into object-oriented code.Object-Oriented Programming with Swift is an easy-to-follow guide packed full of hands-on examples of solutions to common problems encountered with object-oriented code in Swift. It starts by helping you to recognize objects using real-life scenarios and demonstrates how working with them makes it simpler to write code that is easy to understand and reuse.You will learn to protect and hide data with the data encapsulation features of Swift. Then, you will explore how to maximize code reuse by writing code capable of working with objects of different types. After that, you'll discover the power of parametric polymorphism and will combine generic code with inheritance and multiple inheritance. Later, you move on to refactoring your existing code and organizing your source for easy maintenance and extensions.By the end of the book, you will be able to create better, stronger, and more reusable code, which will help you build better applications.Style and approachThis simple guide is packed with practical examples of solutions to common problems. Each chapter includes exercises and the possibility for you to test your progress by answering questions.

Harness the power of DevOps to boost your skill set and make your IT organization perform betterAbout This BookGet to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developerImprove your organization's performance to ensure smooth production of software and servicesDeploy top-quality software and ensure software maintenance and release management with this practical guideWho This Book Is ForThis book is aimed at developers and system administrators who wish to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works. This book is also great for operations personnel who would like to better support developers. You do not need to have any previous knowledge of DevOps.What You Will LearnAppreciate the merits of DevOps and continuous delivery and see how DevOps supports the agile processUnderstand how all the systems fit together to form a larger wholeSet up and familiarize yourself with all the tools you need to be efficient with DevOpsDesign an application that is suitable for continuous deployment systems with Devops in mindStore and manage your code effectively using different options such as Git, Gerrit, and GitlabConfigure a job to build a sample CRUD applicationTest the code using automated regression testing with Jenkins SeleniumDeploy your code using tools such as Puppet, Ansible, Palletops, Chef, and VagrantMonitor the health of your code with Nagios, Munin, and GraphiteExplore the workings of Trac—a tool used for issue trackingIn DetailDevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processesStyle and approachThis book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code. It starts out with background information and gradually delves deeper into technical subjects.

Discover exciting and fun projects by building brilliant applications for the Apple WatchAbout This BookExplore the opportunities opened up to developers by Apple’s latest device: the Apple WatchBe a crackerjack at developing software across a broad range of watch app categoriesFrom an eminent author, master all stages of development, from the first stage through to a completed projectWho This Book Is ForIf you have some basic knowledge of programming in Swift and are looking for the best way to get started with Apple Watch development, this book is just the right one for you!What You Will LearnUnderstand the concept of the Apple Watch as an autonomous device as well as it being paired with the iPhoneGet your app up and runningDesign exciting, inspiring, and attractive layouts for your appsMake your user interface more engaging using images and animationEnable your Watch and iPhone apps to transport and share dataLeverage the feature-rich set of WatchKit technologies provided by AppleConnect your apps to the InternetSubmit your app to the App StoreIn DetailWith Apple’s eagerly anticipated entry into the wearable arena, the field is wide open for a new era of app development. The Apple Watch is one of the most important technologies of our time.This easy-to-understand book takes beginners on a delightful journey of discovering the features available to the developer, right up to the completion of medium-level projects ready for App Store submission. It provides the fastest way to develop real-world apps for the Apple Watch by teaching you the concepts of Watch UI, visual haptic and audio, message and data exchange between watch and phone, Web communication, and finally Visual, haptic as well as audio feedback for users.By the end of this book, you will have developed at least four fully functioning apps for deployment on watchOS 2.Style and approachThis is a step-by-step guide to developing apps for the Apple Watch with the help of screenshots and fully coded working examples.

Over 90 practical and highly applicable recipes to successfully deploy various OpenStack configurations in productionAbout This BookGet a deep understanding of OpenStack’s internal structure and servicesLearn real-world examples on how to build and configure various production grade use cases for each of OpenStack's servicesUse a step-by-step approach to install and configure OpenStack’s services to provide Compute, Storage, and Networking as a services for cloud workloads Who This Book Is For If you have a basic understanding of Linux and Cloud computing and want to learn about configurations that OpenStack supports, this is the book for you. Knowledge of virtualization and managing Linux environments is expected. Prior knowledge or experience of OpenStack is not required, although beneficial.What You Will LearnPlan an installation of OpenStack with a basic configurationDeploy OpenStack in a highly available configurationConfigure Keystone Identity services with multiple types of identity backendsConfigure Glance Image Store with File, NFS, Swift, or Ceph image backends and use local image cachingDesign Cinder to use a single storage provider such as LVM, Ceph, and NFS backends, or to use multiple storage backends simultaneouslyManage and configure the OpenStack networking backendConfigure OpenStack's compute hypervisor and the instance scheduling mechanismBuild and customize the OpenStack dashboard In Detail OpenStack is the most popular open source cloud platform used by organizations building internal private clouds and by public cloud providers. OpenStack is designed in a fully distributed architecture to provide Infrastructure as a Service, allowing us to maintain a massively scalable cloud infrastructure. OpenStack is developed by a vibrant community of open source developers who come from the largest software companies in the world. The book provides a comprehensive and practical guide to the multiple uses cases and configurations that OpenStack supports. This book simplifies the learning process by guiding you through how to install OpenStack in a single controller configuration. The book goes deeper into deploying OpenStack in a highly available configuration. You’ll then configure Keystone Identity Services using LDAP, Active Directory, or the MySQL identity provider and configure a caching layer and SSL. After that, you will configure storage back-end providers for Glance and Cinder, which will include Ceph, NFS, Swift, and local storage. Then you will configure the Neutron networking service with provider network VLANs, and tenant network VXLAN and GRE. Also, you will configure Nova’s Hypervisor with KVM, and QEMU emulation, and you will configure Nova’s scheduler filters and weights. Finally, you will configure Horizon to use Apache HTTPD and SSL, and you will customize the dashboard’s appearance.Style and approach This book consists of clear, concise instructions coupled with practical and applicable recipes that will enable you to use and implement the latest features of OpenStack.

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.

Over 100 recipes to help you develop cross-platform, native applications in JavaScript About This Book Leverage your JavaScript skills to write mobile applications using Titanium Studio tools with the native advantage Deploy your application on the App Store and Google Play Add your own IOS native modules in objective-C, in an easy-to-follow step-by-step format Who This Book Is For This book is an essential for any developer learning or using JavaScript who wants to write native UI applications for iOS and Android. No knowledge of Objective-C, Swift and Java is required and you’ll quickly be developing native, cross-platform apps, in JavaScript! What You Will Learn Transfer data between applications with URL schemes, and make your application accessible to other mobile applications and services Connect with remote services using JSON Work with Google Maps and Apple Maps, GPS and annotate routes Create animations and special effects Integrate notifications and connect with social media services such as Facebook and Twitter Build applications with Alloy MVC – a rapid application development framework Design native APIs and use local databases In Detail The mobile web has paved the way but many users want to have “native” applications installed. Using Appcelerator as a platform it’s now possible to write iOS, Android, and Windows phone applications in JavaScript! It allows developers to develop fully native UI applications using Appcelerator studio tools without any knowledge of Objective-C, Swift or Java. This book will take you through the process of building cross-platform, native UI applications for the mobile from scratch. You will learn how to develop apps, how to use GPS, cameras and photos and how to build socially connected apps. You will also learn how to package them for submission to the App Store and Google Play. This cookbook takes a pragmatic approach to creating applications in JavaScript from putting together basic UIs, to handling events and implementation of third party services such as Twitter, Facebook and Push notifications. The book shows you how to integrate datasources and server APIs, and how to use local databases. The topics covered will guide you to use Appcelerator Studio tools for all the mobile features such as Geolocation, Accelerometer, animation and more. You’ll also learn about Alloy, the Appcelerator MVC framework for rapid app development, and how to transfer data between applications using URLSchemes, enabling other developers to access and launch specific parts of your app. Finally, you will learn how to register developer accounts and publish your very own applications on the App Store and Google Play. Style and approach This book offers a set of practical recipes with a step-by-step approach for building native applications for both the iOS and Android using JavaScript. This hands-on guide shows you exactly how to use the Appcelerator platform to rapidly develop cross-platform, native apps.

Learn how to build a complete 3D game using the industry-leading Unity game development engine and Blender, the graphics software that gives life to your ideas About This Book Learn the fundamentals of two powerful tools and put the concepts into practice Find out how to designand buildall the core elements required for a great game - from characters to environments, to props— Learn how to integrate Artificial Intelligence (AI) into your game for sophisticated and engaging gameplay Who This Book Is For This book has been created for anyone who wants to learn how to develop their own game using Blender and Unity, both of which are freely available, yet very popular and powerful, tools. Not only will you be able to master the tools, but you will also learn the entire process of creating a game from the ground up. What You Will Learn Design and create a game concept that will determine how your game will look and how it will be played Construct 3D models of your game characters and create animations for them before importing them into the game Build the game environment from scratch by constructing the terrain and props, and eventually put it all together to form a scene Import and integrate game assets created in Blender into Unity—for example, setting up textures, materials, animation states, and prefabs Develop game structures including a game flow, user interface diagram, game logic, and a state machine Make the game characters move around and perform certain actions either through player inputs or fully controlled by artificial intelligence Create particles and visual effects to enhance the overall visual aesthetic Deploy the game for various types of platforms In Detail In the wake of the indie game development scene, game development tools are no longer luxury items costing up to millions of dollars but are now affordable by smaller teams or even individual developers. Among these cutting-edge applications, Blender and Unity stand out from the crowd as a powerful combination that allows small-to-no budget indie developers or hobbyists alike to develop games that they have always dreamt of creating. Starting from the beginning, this book will cover designing the game concept, constructing the gameplay, creating the characters and environment, implementing game logic and basic artificial intelligence, and finally deploying the game for others to play. By sequentially working through the steps in each chapter, you will quickly master the skills required to develop your dream game from scratch. Style and approach A step-by-step approach with tons of screenshots and sample code for readers to follow and learn from. Each topic is explained sequentially and placed in context so that readers can get a better understanding of every step in the process of creating a fully functional game.

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.

Over 90 hands-on recipes to help you create digital comics from page setup to exporting the final product About This Book Design creative and custom digital comics with the perfection equivalent of pen-and-paper drawings Explore the latest features from Manga Studio EX 5 such as custom brush effects, layers, masks, 3D objects, panels, and multiple-page story layout A pragmatic manual with engaging recipes and attractive screenshots that make comic creation fun and easy Who This Book Is For This book is intended for competent comic artists working on Manga Studio who want to create more attractive comics by using powerful tools and features from software for digital comic creation. What You Will Learn Create story files and custom pages for any Web or publishing project Customize brushes for special ink effects, hatching and cross-hatching, and much more Work with vector images in Manga Studio EX 5 Use the new Symmetry ruler and the new Line tools to create your illustrations faster and more efficiently Make and save custom screentones, and add them to your comic pages Punch up your illustrations with color palettes and special effects Add 3D models to create or accentuate your comic scenes Finish a project by exporting it for the Web or for a printed collection In Detail Manga Studio is a software application for the digital creation of comics and manga. Manga Studio EX 5 has all the features of Manga Studio 5, professional story creation tools, and other special features that make it the ultimate illustration tool for serious comic, manga, and graphic artists. Made specifically for comic artists and illustrators, it has some of the most powerful digital art creation tools available. From digital perspective rulers to a library of screentones, Manga Studio 5 works for the artist with an intuitive, customizable interface and tools. With Manga Studio EX 5, you can create custom page templates, save commonly used designs, make custom brushes, mimic traditional media, pose 3D objects directly on the art canvas, and export all of your comic pages for print or the Web. The book starts with everything you need to know to set up custom pages for your comic or Manga project. These recipes will take you all the way through to exporting your illustrations for print or to display them on the Web. You will learn how to create custom brushes that you will use for inking, or for repetitive tasks such as drawing foliage or rubble. Next, you will move on to understanding Layer Modes and Layer Masks. Then, you'll learn how to finish up your illustrations with color, screentones, special effects, and 3D objects. Finally, you will be taught to export your hard work and share it with the world, either through the Web or in print. This cookbook will give you just the right recipes to turn on the power of Manga Studio EX 5 and get you creating more illustrations faster and more efficiently. Style and approach An easy-to-follow, and informative book full of recipes that explore real-world topics for the comic creator. Each recipe is explained with detailed steps and interesting screenshots.