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

Which higher-order mapping operator should you use if you want to process operations sequentially and ensure that the order of execution is maintained?

Which higher-order mapping operator should you use if you want to process operations sequentially and ensure that the order of execution is maintained?

The new inner observable is queued for execution.

The new inner observable is merged with the previous one.

The new inner observable cancels the previous one.

When using the `switchMap` operator, what happens when a new inner observable is emitted before the previous one has been completed?

When using the <code>switchMap</code> operator, what happens when a new inner observable is emitted before the previous one has been completed?

When you want to perform arithmetic operations on emitted values

When you need to emit values asynchronously

When you want to transform data emitted from one observable to emit another observable

When you want to filter out specific values from an observable

When should you consider using higher-order observables in your RxJS code?

When should you consider using higher-order observables in your RxJS code?

Which operator is best suited for processing operations in parallel, enhancing performance?

Which operator is best suited for processing operations in parallel, enhancing performance?

Which operator is used to ignore new observables while the current one is still ongoing?

Which operator is used to ignore new observables while the current one is still ongoing?

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: Transforming Streams