Spring has been the cool kid in the room since 2004 and much has changed since then. What began as a 1st class object factory has evolved into an ecosystem capable of solving even the craziest requirements in a simple and patterned driven development framework we now call Spring 4.0

The book has now been updated About This Book * Build modern, cross-platform applications with .NET Core 1.0 * Get up-to-speed with C#, and up-to-date with all the latest features of C# 6 * Start creating professional web applications with ASP.NET Core 1.0 Who This Book Is For Are you struggling to get started with C#? Or maybe you're interested in the potential of the new cross-platform features that .NET Core can offer? If so, C# 6 and .NET Core 1.0 is the book for you. While you don't need to know any of the latest features of C# or .NET to get started, it would be beneficial if you have some programming experience. What You Will Learn * Build cross-platform applications using C# 6 and .NET Core 1.0 * Explore ASP.NET Core 1.0 and learn how to create professional web applications * Improve your application's performance using multitasking * Use Entity Framework Core 1.0 and learn how to build Code-First databases * Master object-oriented programming with C# to increase code reuse and efficiency * Familiarize yourself with cross-device app development using the Universal Windows Platform and XAML * Query and manipulate data using LINQ * Protect your data by using encryption and hashing In Detail With the release of .NET Core 1.0, you can now create applications for Mac OS X and Linux, as well as Windows, using the development tools you know and love. C# 6 and .NET Core 1.0 has been divided into three high-impact sections to help start putting these new features to work. First, we'll run you through the basics of C#, as well as object-orient programming, before taking a quick tour through the latest features of C# 6 such as string interpolation for easier variable value output, exception filtering, and how to perform static class imports. We'll also cover both the full-feature, mature .NET Framework and the new, cross-platform .NET Core. After quickly taking you through C# and how .NET works, we'll dive into the internals of the .NET class libraries, covering topics such as performance, monitoring, debugging, internationalization, serialization, and encryption. We'll look at Entity Framework Core 1.0 and how to develop Code-First entity data models, as well as how to use LINQ to query and manipulate that data. The final section will demonstrate the major types of applications that you can build and deploy cross-device and cross-platform. In this section, we'll cover Universal Windows Platform (UWP) apps, web applications, and web services. Lastly, we'll help you build a complete application that can be hosted on all of today's most popular platforms, including Linux and Docker. By the end of the book, you'll be armed with all the knowledge you need to build modern, cross-platform applications using C# and .NET Core. Style and approach This book takes a step-by-step approach and is filled with exciting projects and fascinating theory. It uses three high-impact sections to equip you with all the tools you'll need to build modern, cross-platform applications using C# and .NET Core.

Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book * An overview of modern Data Science and Machine Learning libraries available in Java * Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. * Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn * Get a solid understanding of the data processing toolbox available in Java * Explore the data science ecosystem available in Java * Find out how to approach different machine learning problems with Java * Process unstructured information such as natural language text or images * Create your own search engine * Get state-of-the-art performance with XGBoost * Learn how to build deep neural networks with DeepLearning4j * Build applications that scale and process large amounts of data * Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approach This is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.

Recipes to help you overcome your data science hurdles using Java About This Book * This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science * Use these recipes to obtain, clean, analyze, and learn from your data * Learn how to get your data science applications to production and enterprise environments effortlessly Who This Book Is For This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro. What You Will Learn * Find out how to clean and make datasets ready so you can acquire actual insights by removing noise and outliers * Develop the skills to use modern machine learning techniques to retrieve information and transform data to knowledge. retrieve information from large amount of data in text format. * Familiarize yourself with cutting-edge techniques to store and search large volumes of data and retrieve information from large amounts of data in text format * Develop basic skills to apply big data and deep learning technologies on large volumes of data * Evolve your data visualization skills and gain valuable insights from your data * Get to know a step-by-step formula to develop an industry-standard, large-scale, real-life data product * Gain the skills to visualize data and interact with users through data insights In Detail If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more-things that will come in handy at work. Style and approach This book contains short yet very effective recipes to solve most common problems. Some recipes cater to very specific, rare pain points. The recipes cover different data sets and work very closely to real production environments

Learn effective C++ network programming with Boost.Asio and become a proficient C++ network programmer About This Book * Learn efficient C++ network programming with minimum coding using Boost.Asio * Your one-stop destination to everything related to the Boost.Asio library * Explore the fundamentals of networking to choose designs with more examples, and learn the basics of Boost.Asio Who This Book Is For This book is for C++ Network programmers with basic knowledge of network programming, but no knowledge of how to use Boost.Asio for network programming. What You Will Learn * Prepare the tools to simplify network programming in C++ using Boost.Asio * Explore the networking concepts of IP addressing, TCP/IP ports and protocols, and LAN topologies * Get acquainted with the usage of the Boost libraries * Get to know more about the content of Boost.Asio network programming and Asynchronous programming * Establish communication between client and server by creating client-server application * Understand the various functions inside Boost.Asio C++ libraries to delve into network programming * Discover how to debug and run the code successfully In Detail Boost.Asio is a C++ library used for network programming operations. Organizations use Boost because of its productivity. Use of these high-quality libraries speed up initial development, result in fewer bugs, reduce reinvention-of-the-wheel, and cut long-term maintenance costs. Using Boost libraries gives an organization a head start in adopting new technologies. This book will teach you C++ Network programming using synchronous and asynchronous operations in Boost.Asio with minimum code, along with the fundamentals of Boost, server-client applications, debugging, and more. You will begin by preparing and setting up the required tools to simplify your network programming in C++ with Boost.Asio. Then you will learn about the basic concepts in networking such as IP addressing, TCP/IP protocols, and LAN with its topologies. This will be followed by an overview of the Boost libraries and their usage. Next you will get to know more about Boost.Asio and its concepts related to network programming. We will then go on to create a client-server application, helping you to understand the networking concepts. Moving on, you will discover how to use all the functions inside the Boost.Asio C++ libraries. Lastly, you will understand how to debug the code if there are errors found and will run the code successfully. Style and approach An example-oriented book to show you the basics of networking and help you create a network application simply using Boost.Asio, with more examples for you to get up and running with Boost.Asio quickly.

Implement object-oriented programming paradigms with Swift 3.0 and mix them with modern functional programming techniques to build powerful real-world applications About This Book * Leverage the most efficient object-oriented design patterns in your Swift applications * Write robust, safer, and better code using the blueprints that generate objects * Build a platform with object-oriented code using real-world elements and represent them in your apps Who This Book Is For This book is for iOS and macOS developers who want to get a detailed practical understanding of object-oriented programming with the latest version of Swift: 3.0. What You Will Learn * Write high-quality and easy-to-maintain reusable object-oriented code to build applications for iOS, macOS, and Linux * Work with encapsulation, abstraction, and polymorphism using Swift 3.0 * Work with classes, instances, properties, and methods in Swift 3.0 * Take advantage of inheritance, specialization, and the possibility to overload or override members * Implement encapsulation, abstraction, and polymorphism * Explore functional programming techniques mixed with object-oriented code in Swift 3.0 * Understand the differences between Swift 3.0, previous Swift versions, and Objective-C code In Detail Swift has quickly become one of the most-liked languages and developers' de-facto choice when building applications that target iOS and macOS. In the new version, the Swift team wants to take its adoption to the next level by making it available for new platforms and audiences. This book introduces the object-oriented paradigm and its implementation in the Swift 3 programming language to help you understand how real-world objects can become part of fundamental reusable elements in the code. This book is developed with XCode 8.x and covers all the enhancements included in Swift 3.0. In addition, we teach you to run most of the examples with the Swift REPL available on macOS and Linux, and with a Web-based Swift sandbox developed by IBM capable of running on any web browser, including Windows and mobile devices. You will organize data in blueprints that generate instances. You'll work with examples so you understand how to encapsulate and hide data by working with properties and access control. Then, you'll get to grips with complex scenarios where you use instances that belong to more than one blueprint. You'll discover the power of contract programming and parametric polymorphism. You'll combine generic code with inheritance and multiple inheritance. Later, you'll see how to combine functional programming with object-oriented programming and find out how to refactor your existing code for easy maintenance. Style and approach This 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 a quiz

A practical guide to adopting portal development best practices in an Enterprise world About This Book * Discover the new features and updates in Liferay including the concept of CMS, and collaboration applications with relevant examples and screenshots * Set up the navigation structure for the Enterprise intranet * Full of illustrations, diagrams, clear step-by-step instructions, and practical examples to show you the integration between different applications such as LDAP, SSO, and Liferay Social Office Who This Book Is For This book is for anyone who is interested in the Liferay Intranet Portal. This book is for both beginners and more experienced portal developers who need to create an enterprise intranet portal for their business. It will be handy for IT professionals who know the basics of how the portal technology works and need to integrate different open source technologies. What You Will Learn * Be introduced to the all new features of Liferay 6.2 * Understand the different controls/actions to make the portal work for an Enterprise * Manage users, organizations, sites, user groups, and roles and also set up portal permissions * Set up a forum and get detailed descriptions of categorization, tagging, and Asset Publisher * Enable Wiki to share knowledge among users and create new dynamic data list and poll portlets * Handle federated search and OpenSearch and deploy search-based portlets * Implement web content management with a different approach in the portal * Employ community tools such as invitations, bookmarks, page comments, and page ratings * Manage Liferay's document and media portlet In Detail To develop an intranet portal for an Enterprise, Liferay is the only open-source portal development platform that has a high scale graph for the developer to extend any component. It provides high end integration with other applications. By using this book, both beginners and more experienced users will be able to create an intranet portal easily. This book will be your pocket reference to Liferay. It will explain to you the new features of Liferay, including Liferay Sync and the Recycle Bin. It will help you to integrate with other key applications such as LDAP, SSO, and Alfresco 4.x and above. You will be introduced to documents, web content, and image management. You will move onto Liferay Sync's new tool to synchronize documents and media files to the local system. You'll discover the Market Place, the newest feature of Liferay. Liferay Social Office and its integrations are also thoroughly explained. This book is packed with practical examples that will help you to develop an intranet portal quickly and easily. Style and approach Clear step-by-step instructions to develop an intranet portal for Enterprise. It describes new features and updates in Liferay with clear explanations, and is complete with images, tips, and tricks.

Spring has always been the cool kid in the room and now drives a Maybach and hangs out with Justin Bieber. What started as a 1st class object factory has evolved into an enterprise scale ecosystem. Spring and it's module based framework provides patterned solutions to even the craziest requirements.

Deep dive into C# and .NET architecture to build efficient, powerful applications About This Book * Uniquely structured content to help you understand what goes on under the hood of .NET's managed code platform to master .NET programming * Deep dive into C# programming and how the code executes via the CLR * Packed with hands-on practical examples, you'll understand how to write applications to make full use of the new features of .NET 4.6, .NET Core and C# 6/7 Who This Book Is For This book was written exclusively for .NET developers. If you've been creating C# applications for your clients, at work or at home, this book will help you develop the skills you need to create modern, powerful, and efficient applications in C#. No knowledge of C# 6/7 or .NET 4.6 is needed to follow along-all the latest features are included to help you start writing cross-platform applications immediately. You will need to be familiar with Visual Studio, though all the new features in Visual Studio 2015 will also be covered. What You Will Learn * Understand C# core concepts in depth, from sorting algorithms to the Big O notation * Get up to speed with the latest changes in C# 6/7 * Interface SQL Server and NoSQL databases with .NET * Learn SOLID principles and the most relevant GoF Patterns with practical examples in C# 6.0 * Defend C# applications against attacks * Use Roslyn, a self-hosted framework to compile and advanced edition in both C# and Visual basic .NET languages * Discern LINQ and associated Lambda expressions, generics, and delegates * Design a .NET application from the ground up * Understand the internals of a .NET assembly * Grasp some useful advanced features in optimization and parallelism In Detail Mastering C# and .NET Framework will take you in to the depths of C# 6.0/7.0 and .NET 4.6, so you can understand how the platform works when it runs your code, and how you can use this knowledge to write efficient applications. Take full advantage of the new revolution in .NET development, including open source status and cross-platform capability, and get to grips with the architectural changes of CoreCLR. Start with how the CLR executes code, and discover the niche and advanced aspects of C# programming - from delegates and generics, through to asynchronous programming. Run through new forms of type declarations and assignments, source code callers, static using syntax, auto-property initializers, dictionary initializers, null conditional operators, and many others. Then unlock the true potential of the .NET platform. Learn how to write OWASP-compliant applications, how to properly implement design patterns in C#, and how to follow the general SOLID principles and its implementations in C# code. We finish by focusing on tips and tricks that you'll need to get the most from C# and .NET. This book also covers .NET Core 1.1 concepts as per the latest RTM release in the last chapter. Style and approach This book uses hands-on practical code examples that will take you into the depths of C# and .NET. Packed with hands-on practical examples, it is great as a tutorial, or as a reference guide.

Write efficient, clean, and reusable code with Scala About This Book * Unleash the power of Scala and apply it in the real world * Increase your efficiency by leveraging the power of Creational, Structural, Behavioural, and Functional design patterns * Build object oriented and functional applications quickly and effectively Who This Book Is For If you want to increase your understanding of Scala and apply it to real-life application development, then this book is for you. We've also designed the book to be used as a quick reference guide while creating applications. Previous Scala programming knowledge is expected. What You Will Learn * Immerse yourself in industry-standard design patterns-structural, creational, and behavioral-to create extraordinary applications * Feel the power of traits and their application in Scala * Implement abstract and self types and build clean design patterns * Build complex entity relationships using structural design patterns * Create applications faster by applying functional design patterns In Detail Scala has become increasingly popular in many different IT sectors. The language is exceptionally feature-rich which helps developers write less code and get faster results. Design patterns make developer's lives easier by helping them write great software that is easy to maintain, runs efficiently and is valuable to the company or people concerned. You will learn about the various features of Scala and be able to apply well-known, industry-proven design patterns in your work. The book starts off by focusing on some of the most interesting features of Scala while using practical real-world examples. We will also cover the popular "Gang of Four" design patterns and show you how to incorporate functional patterns effectively. By the end of this book, you will have enough knowledge and understanding to quickly assess problems and come up with elegant solutions. Style and approach The design patterns in the book will be explained using real-world, step-by-step examples. For each design pattern, there will be hints about when to use it and when to look for something more suitable. This book can also be used as a practical guide, showing you how to leverage design patterns effectively.

Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease About This Book * Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents * Deep dive into the world of data aggregation and data analysis with ElasticSearch * Explore a wide range of ElasticSearch modules that define the behavior of a cluster Who This Book Is For If you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed. What You Will Learn * Configure, create, and retrieve data from your indices * Use an ElasticSearch query DSL to create a wide range of queries * Discover the highlighting and geographical search features offered by ElasticSearch * Find out how to index data that is not flat or data that has a relationship * Exploit a prospective search to search for queries not documents * Use the aggregations framework to get more from your data and improve your client's search experience * Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions * Discover how to properly set up ElasticSearch for various use cases In Detail ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications. Style and approach This step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.

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Leverage the power of Scala with different tools to build scalable, robust data science applications About This Book * A complete guide for scalable data science solutions, from data ingestion to data visualization * Deploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizations * Build functional, type-safe routines to interact with relational and NoSQL databases with the help of tutorials and examples provided Who This Book Is For If you are a Scala developer or data scientist, or if you want to enter the field of data science, then this book will give you all the tools you need to implement data science solutions. What You Will Learn * Transform and filter tabular data to extract features for machine learning * Implement your own algorithms or take advantage of MLLib's extensive suite of models to build distributed machine learning pipelines * Read, transform, and write data to both SQL and NoSQL databases in a functional manner * Write robust routines to query web APIs * Read data from web APIs such as the GitHub or Twitter API * Use Scala to interact with MongoDB, which offers high performance and helps to store large data sets with uncertain query requirements * Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations * Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive In Detail Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines. This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala. Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala's emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks. This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions. Style and approach A tutorial with complete examples, this book will give you the tools to start building useful data engineering and data science solutions straightaway

A fast-paced guide to designing and building scalable and maintainable web apps with React.js About This Book * Build maintainable and performant user interfaces for your web applications using React.js * Create reusable React.js components to save time and effort in maintaining your user interfaces * Learn how to build a ready-to-deploy React.js web application, following our step-by-step tutorial Who This Book Is For If you're a front-end developer with knowledge of jQuery and its libraries, along with frameworks, such as Angular.JS and Backbone.JS, or native JavaScript development, and you wish to use the fastest web user interface library there is, then this book is ideal for you. What You Will Learn * Install powerful React.js tools to make development much more efficient * Create React elements with properties and children * Get started with stateless and stateful React components * Use JSX to speed up your React.js development process * Add reactivity to your React components with lifecycle methods * Integrate your React components with other JavaScript libraries * Utilize the Flux application architecture with your React components * Test your React components with Jest test framework In Detail Building web applications with maintainable and performant user interfaces is a challenge that many have faced for more than a decade, but no one has risen to this challenge quite like React.js. Today React.js is used by Facebook, Instagram, Khan Academy, and Imperial College London, to name a few. Many new users recognize the benefits of React.js and adopt it in their own projects, forming a fast-growing community. The speed at which React.js has evolved promises a bright future for those who invest in learning it today. React.js Essentials will take you on a fast-paced journey through building your own maintainable React.js application. Begin by exploring how you can create single and multiple user interface elements. Create stateless and stateful components and make them reactive, learn to interact between your components and lifecycle methods and gauge how to effectively integrate your user interface components with other JavaScript libraries. Delve deep into the core elements of the Flux architecture and learn how to manage your application using stores. Finish by going that extra mile with the Jest test framework, running multiple tests on your application and find solutions to scale it further without complexity. Style and approach The book adopts a step-by-step, hands-on approach with ample codes to ensure you learn React.js at a fast pace.

Configure and extend Jenkins to architect, build, and automate efficient software delivery pipelines About This Book * Configure and horizontally scale a Jenkins installation to support a development organization of any size * Implement Continuous Integration, Continuous Delivery, and Continuous Deployment solutions in Jenkins * A step-by-step guide to help you get the most out of the powerful automation orchestration platform that is Jenkins Who This Book Is For If you are a novice or intermediate-level Jenkins user who has used Jenkins before but are not familiar with architecting solutions and implementing it in your organization, then this is the book for you. A basic understanding of the core elements of Jenkins is required to make the best use of this book. What You Will Learn * Create and manage various types of build jobs, and implement automation tasks to support a software project of any kind * Get to grips with the automated testing architecture, and scalable automated testing techniques * Facilitate the delivery of software across the SDLC by creating scalable automated deployment solutions * Manage scalable automation pipelines in Jenkins using the latest build, test, and deployment strategies * Implement a scalable master / slave build automation platform, which can support Windows, Mac OSX, and Linux software solutions * Cover troubleshooting and advanced configuration techniques for Jenkins slave nodes * Support a robust build and delivery system by implementing basic infrastructure as code solutions in configuration management tools such as Ansible In Detail With the software industry becoming more and more competitive, organizations are now integrating delivery automation and automated quality assurance practices into their business model. Jenkins represents a complete automation orchestration system, and can help converge once segregated groups into a cohesive product development and delivery team. By mastering the Jenkins platform and learning to architect and implement Continuous Integration, Continuous Delivery, and Continuous Deployment solutions, your organization can learn to outmanoeuvre and outpace the competition. This book will equip you with the best practices to implement advanced continuous delivery and deployment systems in Jenkins. The book begins with giving you high-level architectural fundamentals surrounding Jenkins and Continuous Integration. You will cover the different installation scenarios for Jenkins, and see how to install it as a service, as well as the advanced XML configurations. Then, you will proceed to learn more about the architecture and implementation of the Jenkins Master/Save node system, followed by creating and managing Jenkins build jobs effectively. Furthermore, you'll explore Jenkins as an automation orchestration system, followed by implementing advanced automated testing techniques. The final chapters describe in depth the common integrations to Jenkins from third-party tools such as Jira, Artifactory, Amazon EC2, and getting the most out of the Jenkins REST-based API. By the end of this book, you will have all the knowledge necessary to be the definitive resource for managing and implementing advanced Jenkins automation solutions for your organization. Style and approach This book is a step-by-step guide to architecting and implementing automated build solutions, automated testing practices, and automated delivery methodologies. The topics covered are based on industry-proven techniques, and are explained in a simple and easy to understand manner.

Quick fixes to your common C# programming problems, with a focus on C# 6.0 About This Book * Unique recipes for C#, that places it in its real-world context. * You will be able to get yourself out of any coding-corner youve backed yourself into. * All code samples available through GitHub to bring C#. * In line with modern development workflows, written to the latest specification of C# 6.0. Who This Book Is For The book is aimed at developers who have basic familiarity with C# programming and will know the VS 2015 environment. What You Will Learn * Write better and less code to achieve the same result as in previous versions of C#. * Generate tests from the Code Contracts for mission critical methods. * Integrate code in Visual Studio with GitHub. * Create a web application in Azure. * Design and build a microservice architecture * Demystify the Rx library using Reactive extensions * Write high performing codes in C# and understanding multi-threading. * Security and Debugging. * Implement Code Contracts on code in Visual Studio. In Detail During your application development workflow, there is always a moment when you need to get out of a tight spot. Through a recipe-based approach, this book will help you overcome common programming problems and get your applications ready to face the modern world. We start with C# 6, giving you hands-on experience with the new language features. Next, we work through the tasks that you perform on a daily basis such as working with strings, generics, and lots more. Gradually, we move on to more advanced topics such as the concept of object-oriented programming, asynchronous programming, reactive extensions, and code contracts. You will learn responsive high performance programming in C# and how to create applications with Azure. Next, we will review the choices available when choosing a source control solution. At the end of the book, we will show you how to create secure and robust code, and will help you ramp up your skills when using the new version of C# 6 and Visual Studio Style and Approach Unique recipe-based guide that will help you gain a solid understanding of the new concepts in C# 6 and Visual Studio Enterprise 2015 in a concise and technically correct manner.

Get to grips with object-oriented programming in Swift to efficiently build powerful real-world applications About This Book * Leverage the most efficient object-oriented design patterns in your Swift applications * Write robust, safer, and better code using the blueprints that generate objects * Build a platform with object-oriented code by using real-world elements and represent them in your app Who This Book Is For If 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 Swift What You Will Learn * Build solid, stable, and reliable applications using Swift * Work with encapsulation, abstraction, and polymorphism using Swift 2.0 * Customize constructors and destructors based on your needs * Develop Swift 2.0 with classes, instances, properties, and methods * Take advantage of generic code to maximize code reuse and generalize behaviors * Use state of inheritance, specialization, and the possibility to overload members * Write high quality object-oriented code to build apps for iOS or Mac OS X In Detail Object-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 approach This 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.

About This Book Discover the power of Elasticsearch by implementing it in a variety of real-world scenarios such as restaurant and e-commerce search Discover how the features you see in an average Google search can be achieved using Elasticsearch Learn how to not only generate accurate search results, but also improve the quality of searches for relevant results Who This Book Is ForIf you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch. What You Will Learn Build a simple scalable server for effective searching in Elasticsearch Design a scalable e-commerce search solution to generate accurate search results using various filters such as filters based on date range and price range Improve the relevancy and scoring of your searches Manage real-world, complex data using various techniques, including parent-child search and searching questions based on the criteria of questions and answers Use the excellent data crunching and aggregation capability of Elasticsearch to analyze your data Generate real-time visualizations of your data using compelling visualization techniques, such as time graphs, pie charts, and stacked graphs Enhance the quality of your search and widen the scope of matches using various analyzer techniques, such as lower casing, stemming, and synonym matching In DetailElasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Utilizing the Apache Lucene library (also used in Apache Solr), Elasticsearch enables powerful full-text search, as well as autocomplete "morelikethis" search, multilingual functionality, and an extensive search query DSL. This book starts with the creation of a Google-like web search service, enabling you to generate your own search results. You will then learn how an e-commerce website can be built using Elasticsearch. We will discuss various approaches in getting relevant content up the results, such as relevancy based on how well a query matched the text, time-based recent documents, geographically nearer items, and other frequently used approaches. Finally, the book will cover various geocapabilities of Elasticsearch to make your searches similar to real-world scenarios.

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.