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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

Functors   


What if I told you that you already use functors in Kotlin? Surprised? Let's have a look at the following code:

fun main(args: Array<String>) {
    listOf(1, 2, 3)
            .map { i -> i * 2 }
            .map(Int::toString)
            .forEach(::println)
}

The List<T> class has a function, map(transform: (T) -> R): List<R>.  Where does the name map come from? It came from category theory. What we do when we transform from Int to String, is we map from the Int category to the String category. In the same sense, in our example, we transform from List<Int> to List<Int> (not that exciting), and then from List<Int> to List<String>. We didn't change the external type, just the internal value.

And that is a functor. A functor is a type that defines a way to transform or to map its content. You can find different definitions of a functor, more or less academic; but in principle, all point to the same direction.

Let's define a generic interface...

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