Gain insights into reactive programming with RxJS 7, explore data streams, error handling, and multicasting to build a recipe app, and learn to test and optimize reactive applications.

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The reactive programming paradigm is designed to make working with asynchronous events and data streams convenient. 

This course teaches you about the reactive programming paradigm and when to choose it over others. You’ll learn to use new RxJS 7 features to create a recipe book web application that lets users browse and share recipes. In this context, you’ll learn about data streams, error handling, and how to combine streams and transform one data stream into another. You’ll develop an understanding of multicasting and caching streams, how to share data between components, perform bulk operations such as file uploads, and perform real-time updates. Finally, you’ll learn how to test a reactive application. To assess your knowledge, there’s a project, coding challenges, and assessments.

After this course, you’ll be able to determine the utility of the reactive paradigm for any application and have mastery over new RxJS 7 features to create robust reactive applications.

Reactive Programming with Angular and RxJS 7

# 
# An architecture overview

We'll use a two-tier architecture for this application. The front-end layer of the recipe book app will be implemented in Angular 12 and communicate with a RESTful backend based on Node.js.

> **Note:**
The aspects related to the backend are not the subject of this course and
will not be detailed. 

The frontend of the recipe book app is pluggable to any RESTful backend. Therefore, we can use pretty much any other technology for the backend. All communications will be performed through the HTTP client module and request REST controllers in the backend.



Explore the architecture and components of the application.

Architecture and Component Overview

Getting Started

The Power of the Reactive Paradigm

RxJS 7—The Major Features

A Walk-Through of the Application

Fetching Data as Streams

Error Handling

Combining Streams

Assessment 1

Transforming Streams

Multicasting Essentials

Caching Streams

Sharing Data between Components

Bulk Operations

Processing Real-Time Updates

Testing RxJS Observables

Assessment 2

Conclusion

Architecture and Component Overview

An architecture overview