gives you the development skills you need to create reactive applications with RxJS. This book is full of theory and practical examples that build on each other and help you begin thinking in a reactive manner. Foreword by Ben Lesh, Project lead, RxJS 5.

About the Technology

On the web, events and messages flow constantly between UI and server components. With RxJS, you can filter, merge, and transform these streams directly, opening the world of data flow programming to browser-based apps. This JavaScript implementation of the ReactiveX spec is perfect for on-the-fly tasks like autocomplete. Its asynchronous communication model makes concurrency much, much easier.

About the Book

RxJS in Action

is your guide to building a reactive web UI using RxJS. You'll begin with an intro to stream-based programming as you explore the power of RxJS through practical examples. With the core concepts in hand, you'll tackle production techniques like error handling, unit testing, and interacting with frameworks like React and Redux. And because RxJS builds on ideas from the world of functional programming, you'll even pick up some key FP concepts along the way.

What's Inside

Building clean, declarative, fault-tolerant applications

Transforming and composing streams

Taming asynchronous processes

Integrating streams with third-party libraries

Covers RxJS 5

About the Reader

This book is suitable for readers comfortable with JavaScript and standard web application architectures.

About the Author

Paul P. Daniels

is a professional software engineer with experience in .NET, Java, and JavaScript.

Luis Atencio

is a software engineer working daily with Java, PHP, and JavaScript platforms, and author of 's Functional Programming in JavaScript.

Table of Contents

PART 1 - UNDERSTANDING STREAMS

Thinking reactively

Reacting with RxJS

Core operators

It's about time you used RxJS

PART 2 - OBSERVABLES IN PRACTICE

Applied reactive streams

Coordinating business processes

Error handling with RxJS

PART 3 MASTERING RXJS

Heating up observables

Toward testable, reactive programs

RxJS in the wild

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