Found 542 books
Graph Databases For Beginners

So someone has heard about graph databases and wants to understand what all the buzz is about. Are they just a passing trend - here today and gone tomorrow - or are they a rising tide that businesses and development teams can't afford to ignore? Whether they're a business executive or a seasoned developer, something - perhaps a pressing business challenge or a limitation of their current

Containerized Docker Application Lifecycle with Microsoft Platform and Tools, 2nd Edition

This book provides end-to-end guidance on the Docker application development lifecycle with Microsoft tools and services while providing an introduction to Docker development concepts for readers who might be new to the Docker ecosystem. This way, anyone can understand the global picture and start planning development projects based on Docker and Microsoft technologies/cloud. The audienc

50 Ways to Avoid Find and Fix ASP.NET Performance Issues

Read the tips and tricks that top developers from the .NET and SQL Server communities use to boost code and query performance in their applications. 50 tips from the .NET and SQL Server communities for boosting performance in your .NET application; Learn the secrets of your fellow developers and read advice from MVPs and other experts; Covers performance problems in .NET code, SQL Server

Building Cloud Apps with Microsoft Azure

This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Developers who are curious about developing for the cloud, are considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and prac

Full Stack GraphQL Applications

The GraphQL API query language radically streamlines data exchanges with backend servers by representing application data as easy-to-understand graphs. You can amplify GraphQL's benefits by using graph-aware tools and data stores, like React, Apollo, and Neo4j, throughout your application. A full stack graph approach provides a consistent data model end to end, reducing friction in data

Beyond the Basic Stuff with Python

You've completed a basic Python programming tutorial or finished Al Sweigart's best selling Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, this book will teach you how to advance your

React in patterns

React in Patterns is a comprehensive guide to building scalable and maintainable user interfaces with React. Authored by Krasimir Tsonev, this book explores common design patterns and advanced techniques used in modern React development. Readers will learn how to leverage React's powerful composition model, manage data flow effectively, use context and dependency injection, and create re

Data Science with Microsoft SQL Server 2016

R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it's a rich ecostructure with advanced analytic capabilities. Microsoft SQL Server R Services

Operating Systems and Middleware

The scenario describes a user sitting down at a computer to check email. One of the messages includes an attached document to be edited. The user clicks the attachment, and it opens in another window. After starting to edit the document, the user realizes they need to leave for a trip. They save the document in its partially edited state and shut down the computer to save energy. Upon re

Reinforcement Learning, 2nd Edition

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algori