May 1, 2024
3 minute read
Reactive programming is a programming paradigm that makes use of asynchronous data streams in order to manage events. It uses the Observer pattern as the cornerstone of its design, which means that it has a separation between those that emit the data and those that receive the data. This design approach is best used in scenarios where the data is being continuously updated or in situations where the data comes from an asynchronous source, such as a network connection or a file system. RxJava is a Java implementation of the reactive programming model and is the primary focus of this article.
Why Learn Reactive Programming?
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Find a path to becoming a RxJava. Learn more at:
OpenCourser.com/topic/uler4n/rxjav
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
RxJava.
Provides a comprehensive and up-to-date guide to RxJava 3, covering the latest features and updates.
Provides a comprehensive overview of RxJava 1, covering the core concepts, operators, and design patterns.
Introduces reactive programming concepts and techniques using Kotlin, covering topics such as operators, schedulers, and backpressure.
Introduces reactive programming concepts and techniques using Rx.NET, a .NET implementation of RxJava.
Introduces reactive programming concepts and techniques using RxJS, a JavaScript implementation of RxJava.
Introduces reactive programming concepts and techniques using Python, covering topics such as operators, schedulers, and concurrency.
Introduces reactive programming concepts and techniques using Clojure, covering topics such as operators, schedulers, and concurrency.
Introduces reactive programming concepts and techniques using Ruby, covering topics such as operators, schedulers, and concurrency.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/uler4n/rxjav