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Reactive Programming in Kotlin

You're reading from   Reactive Programming in Kotlin Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788473026
Length 322 pages
Edition 1st Edition
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Author (1):
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Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
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Table of Contents (13) Chapters Close

Preface 1. A Short Introduction to Reactive Programming FREE CHAPTER 2. Functional Programming with Kotlin and RxKotlin 3. Observables, Observers, and Subjects 4. Introduction to Backpressure and Flowables 5. Asynchronous Data Operators and Transformations 6. More on Operators and Error Handling 7. Concurrency and Parallel Processing in RxKotlin with Schedulers 8. Testing RxKotlin Applications 9. Resource Management and Extending RxKotlin 10. Introduction to Web Programming with Spring for Kotlin Developers 11. REST APIs with Spring JPA and Hibernate 12. Reactive Kotlin and Android

Functional programming – monads

Functional programming is incomplete without monads. If you are into functional programming, then you know it very well; otherwise, you are hearing it for the first time. So, what is a monad? Let's learn about it. The concept of monad is quite abstract; the definition says monad is a structure that creates a new type by encapsulating a value and adding some extra functionalities to it. So, let's start by using a monad; take a look at the following program:

    fun main(args: Array<String>) { 
      val maybeValue: Maybe<Int> = Maybe.just(14)//1 
      maybeValue.subscribeBy(//2 
        onComplete = {println("Completed Empty")}, 
        onError = {println("Error $it")}, 
        onSuccess = { println("Completed with value $it")} 
      ) 
      val maybeEmpty:Maybe<Int> = Maybe.empty...
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