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Functional Kotlin

You're reading from   Functional Kotlin Extend your OOP skills and implement Functional techniques in Kotlin and Arrow

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788476485
Length 350 pages
Edition 1st Edition
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Authors (2):
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Mario Arias Mario Arias
Author Profile Icon Mario Arias
Mario Arias
Rivu Chakraborty Rivu Chakraborty
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Rivu Chakraborty
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Table of Contents (16) Chapters Close

Preface 1. Kotlin – Data Types, Objects, and Classes FREE CHAPTER 2. Getting Started with Functional Programming 3. Immutability - It's Important 4. Functions, Function Types, and Side Effects 5. More on Functions 6. Delegates in Kotlin 7. Asynchronous Programming with Coroutines 8. Collections and Data Operations in Kotlin 9. Functional Programming and Reactive Programming 10. Functors, Applicatives, and Monads 11. Working with Streams in Kotlin 12. Getting Started with Arrow 13. Arrow Types 14. Kotlin's Quick Start 15. Other Books You May Enjoy

Applicatives


Our previous example, invoking a lambda inside a wrapper with a parameter inside the same kind of wrapper, is the perfect way to introduce applicatives.

An applicative is a type that defines two functions, a pure(t: T) function that returns the T value wrapped in the applicative type, and an ap function (apply, in other languages) that receives a lambda wrapped in the applicative type.

In the previous section, when we explained monads, we made them extend directly from a functor but in reality, a monad extends from an applicative and an applicative extends from a functor. Therefore, our pseudo code for a generic applicative, and the entire hierarchy, will look like this:

interface Functor<C<_>> { //Invalid Kotlin code
    fun <A,B> map(ca:C<A>, transform:(A) -> B): C<B>
}

interface Applicative<C<_>>: Functor<C> { //Invalid Kotlin code
    fun <A> pure(a:A): C<A>

    fun <A, B> ap(ca:C<A>, fab: C<(A...
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