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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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What is reactive programming?

Reactive programming is an asynchronous programming paradigm that revolves around data streams and the propagation of change. In simpler words, those programs which propagate all the changes that affected its data/data streams to all the interested parties (such as end users, components and sub-parts, and other programs that are somehow related) are called reactive programs.

For example, take any spreadsheet (say the Google Sheet), put any number in the A1 cell, and in the B1 cell, write the =ISEVEN(A1) function; it'll show TRUE or  FALSE, depending on whether you've entered an even or odd number. Now, if you modify the number in A1, the value of B1 will also get changed automatically; such behavior is called reactive.

Not clear enough? Let's look at a coding example and then try to understand it again. The following is a normal Kotlin code block to determine if a number is even or odd:

    fun main(args: Array<String>) { 
      var number = 4 
      var isEven = isEven(number) 
      println("The number is " + (if (isEven) "Even" else "Odd")) 
      number = 9 
      println("The number is " + (if (isEven) "Even" else "Odd")) 
    } 
 
    fun isEven(n:Int):Boolean = ((n % 2) == 0) 

If you check the output of the program, then you'll see that, although the number is assigned a new value, isEven is still true; however, if isEven was made to track changes of the number, then it would automatically become false. A reactive program would just do the same.

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