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Reactive Patterns with RxJS for Angular

Reactive Patterns with RxJS for Angular

By : Lamis Chebbi
4.1 (16)
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Reactive Patterns with RxJS for Angular

Reactive Patterns with RxJS for Angular

4.1 (16)
By: Lamis Chebbi

Overview of this book

RxJS is a fast, reliable, and compact library for handling asynchronous and event-based programs. It is a first-class citizen in Angular and enables web developers to enhance application performance, code quality, and user experience, so using reactive patterns in your Angular web development projects can improve user interaction on your apps, which will significantly improve the ROI of your applications. This book is a step-by-step guide to learning everything about RxJS and reactivity. You'll begin by understanding the importance of the reactive paradigm and the new features of RxJS 7. Next, you'll discover various reactive patterns, based on real-world use cases, for managing your application’s data efficiently and implementing common features using the fewest lines of code. As you build a complete application progressively throughout the book, you'll learn how to handle your app data reactively and explore different patterns that enhance the user experience and code quality, while also improving the maintainability of Angular apps and the developer's productivity. Finally, you'll test your asynchronous streams and enhance the performance and quality of your applications by following best practices. By the end of this RxJS Angular book, you'll be able to develop Angular applications by implementing reactive patterns.
Table of Contents (19 chapters)
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1
Part 1 – Introduction
5
Part 2 – A Trip into Reactive Patterns
10
Part 3 – Multicasting Takes You to New Places
16
Part 4 – Final Touch

Chapter 6: Combining Streams

Now that we have learned about how to use the reactive pattern to fetch data as streams and have covered the error handling patterns, let's start playing with streams. One of the most powerful utilities provided by RxJS that I have found extremely useful is the combination of streams, and this is the heart of this chapter.

This chapter revolves around a common use case, filtering data, that we will resolve by combining streams. We will start by explaining the requirement, and then we will explore the imperative, classic pattern that can be used to implement this requirement followed by a look at the declarative, reactive pattern for it.

In this chapter, we're going to cover the following main topics:

  • Defining the requirement
  • Exploring the imperative pattern for filtering data
  • Exploring the declarative pattern for filtering data
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