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Beginning T-SQL, 4th Edition
Beginning T-SQL, 4th Edition

Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux. Beginning T-SQL starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an i ...
Deep Reinforcement Learning in Unity
Deep Reinforcement Learning in Unity

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow). You will learn about: deep learning and work through an introduction to Tensorflow for writing neural networks (including perceptron, convolution, and LSTM networks), Q learning with Unity ML agents, and porting trained neural network models in Unity through the Python-C# API. You will also explore the OpenAI Gym Environment used throughout the book. Deep Reinforcement ...
Introducing .NET for Apache Spark
Introducing .NET for Apache Spark

Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers. This book covers how to get a local instance of Apache Spark running on your developer machine and shows you how to create your first .NET program that uses the Microsoft .NET bindings for Apache Spark. Techniques shown in the book allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes. You will learn to process data using both batch mode and streaming mode so you can make the right choice depending on whether you are processing an existing dataset or are w ...
React and Libraries
React and Libraries

Harness the power of React and the related libraries that you need to know to deliver successful front-end implementations. Whether you are a beginner getting started or an existing React developer, this book will provide you with the must-have knowledge you need in your toolbox to build a complete app. Start by learning how to create and style your own components, add state management, and manage routing. You'll also learn how to work with the backend using the MERN stack (MongoDB, Express, React, and Node.js). Once you have completed building your app you will learn how to deliver quality software by conducting unit testing, integration testing, and end-to-end (E2E) testing, as well as learn techniques to debug, profile, and optimize your React app. Libraries and tools covered include TypeScript, Material-UI, Styled Components, SCSS, React Router, Redux Toolkit, Recoil, Jest, Enzyme, Sinon, MongoDB, NodeJS, Express, Serve, Grunt, Puppeteer, ESLint, Prettier and many others. And, ...
Learning Ruby on Rails
Learning Ruby on Rails

Ruby on Rails (RoR), or Rails, is an open-source popular web application framework. Rails uses Ruby, HTML, CSS, and JavaScript to create a web application that runs on a web server. Rails uses the model-view-controller (MVC) pattern and provides a fullstack of libraries from the database all the way to the view. It is an unofficial and free Ruby on Rails book created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow. ...
Vue.js Succinctly
Vue.js Succinctly

Explore the fundamentals of Vue.js, a top open-source JavaScript framework, and harness its powerful features to build UIs and single-page applications. Succinctly series writer Ed Freitas employs the same principals he used in Flutter Succinctly to teach readers how to build a web app with Vue.js. ...
Python and R for the Modern Data Scientist
Python and R for the Modern Data Scientist

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language; Understand the strengths and weaknesses of each language; Identify use cases where one language is better suited than the other; Understand the modern open source ecosystem av ...
Cloud Without Compromise
Cloud Without Compromise

Many companies claim to have "gone to the cloud," yet returns from their efforts are meager or worse. Why? Because they've defined cloud as a destination, not a capability. Using cloud as a single-vendor, one-stop destination is fiction; in practice, today's organizations use a mosaic of capabilities across several vendors. Your cloud strategy needs to follow a hybrid multicloud model, one that delivers cloud's value at destinations you choose. This practical guide provides business leaders and C-level executives with guidance and insights across a wide range of cloud-related topics, such as distributed cloud, microservices, and other open source solutions for strengthening operations. You'll apply in-the-field best practices and lessons learned as you define your hybrid cloud strategy and drive your company's transformation strategy. Learn cloud fundamentals and patterns, including basic concepts and history; Get a framework for cloud acumen phases to value-plot your cloud futur ...
TensorFlow 2 Pocket Reference
TensorFlow 2 Pocket Reference

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows; Use code snippets as templates in building TensorFlow models and workflows; Save development time by integrating prebuilt models in TensorFlow Hub; Make informed design choices about data ingestion, training paradigms, model saving, and inferencing; Address common scenari ...
Learning PHP, MySQL & JavaScript, 6th Edition
Learning PHP, MySQL & JavaScript, 6th Edition

Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, jQuery, and the powerful React library. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way, including how to optimize websites for mobile devices. You'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL from database structure to complex queries; Use the MySQL PDO extension, PHP's improved MySQL interface; Create dynamic PHP web pages that tailor themselves to the user; Manage cookies and sessions and maintain a high level of security; Enhance JavaScript with the React libr ...
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