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  • Reactive Patterns with RxJS for Angular
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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

Highlighting the use cases of caching streams

The first use case is optimizing the HTTP requests in order to enhance the performance of our web applications. All that you have to do is put the result in a cache that is a shared place for all the consumers. This is what we did in the previous section.

There is another use case where caching streams makes a lot of sense: when accounting for expensive side effects on the streams. In general, we call the actions that we perform after a value is emitted side effects. This could be logging, displaying messages, doing a kind of mapping, and so on. Here's an example of a side effect using the tap operator:

import {map, from } from 'rxjs';
import { tap } from 'rxjs/operators';
const stream$ = from([1, 2, 'Hello', 5]);
stream$
  .pipe(
    tap((value) => console.log(value)),
    map((element) => {
      if (isNaN(element...
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