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

Combining observables without waiting for completion

Combining observables, waiting for them to complete, and emitting their final values

Combining observables and emitting their values in any order

Combining observables and emitting their values in reverse order

What is the primary purpose of the RxJS `forkJoin` operator?

What is the primary purpose of the RxJS <code>forkJoin</code> operator?

The `forkJoin` operator continues emitting values from other streams.

The `forkJoin` operator emits an error and terminates.



The `forkJoin` operator emits nothing and terminates.

The `forkJoin` operator waits indefinitely for the erroring stream to complete.

What happens if one of the inner streams inside `forkJoin` encounters an error without error handling?

What happens if one of the inner streams inside <code>forkJoin</code> encounters an error without error handling?

Take some action when a stream errors out.

Take some action when a stream completes successfully.

Take some action when a stream completes, whether successfully or unsuccessfully.

Which of the following best describes the purpose of the `finalize` operator?

Which of the following best describes the purpose of the <code>finalize</code> operator?

Quiz

Quiz

Test yourself on bulk operations in patterns with RxJS for Angular.

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

Quiz: Bulk Operations