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Reactive Programming in Kotlin

Reactive Programming in Kotlin

By : Rivu Chakraborty
2.3 (3)
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Reactive Programming in Kotlin

Reactive Programming in Kotlin

2.3 (3)
By: Rivu Chakraborty

Overview of this book

In today's app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that's more reliable, easier to scale, and better-performing. Reactive programming is revolutionary. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to use the concurrency model to control asynchronicity of code and process event handlers effectively. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. This book will also take you one step forward by introducing you to Spring 5 and Spring Boot 2 using Kotlin. By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you'll learn to implement reactive programming paradigms in Android.
Table of Contents (13 chapters)
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Concurrency and Parallel Processing in RxKotlin with Schedulers

So, up until now, you have learned the basics of reactive programming. You learned about Observable, Observers, and Subjects, as well as backpressure, Flowable, processors, and operators. Now, it's time for us to learn some other new topics in reactive programming, probably the most important ones—concurrency and parallel processing.

A popular misconception regarding reactive programming is that reactive programming is multi-threaded by default. The truth is actually that RxKotlin works on a single thread by default, although it provides us with loads of operators to implement multi-threading as per our business logic and requirements with ease.

In this chapter, we will cover the following topics:

  • Introduction to concurrency
  • The subscribeOn() and observeOn() operator
  • Parallelization
...
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Reactive Programming in Kotlin
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