Learning RxJava

Learning RxJava

by Thomas Nield
English | 2017 | ISBN: 1787120422 | 393 Pages | True PDF | 4.3 MB

The primary audience for this book is developers with at least a fundamental mastery of Java.

Some readers will likely be interested in RxJava to make programs more resilient, concurrent, and scalable. Others may be checking out reactive programming just to see what it is all about, and to judge whether it can solve any problems they may have.

What You Will Learn:

- Learn the features of RxJava 2 that bring about many significant changes, including new reactive types such as Flowable, Single, Maybe, and Completable
- Understand how reactive programming works and the mindset to "think reactively"
- Demystify the Observable and how it quickly expresses data and events as sequences
- Learn the various Rx operators that transform, filter, and combine data and event sequences
- Leverage multicasting to push data to multiple destinations, and cache and replay them
- Discover how concurrency and parallelization work in RxJava, and how it makes these traditionally complex tasks trivial to implement
- Apply RxJava and Retrolambda to the Android domain to create responsive Android apps with better user experiences
- Use RxJava with the Kotlin language to express RxJava more idiomatically with extension functions, data classes, and other Kotlin features

RxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time.

Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications.

Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin.



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