Book Image

Learning Functional Programming in Go

By : Lex Sheehan
Book Image

Learning Functional Programming in Go

By: Lex Sheehan

Overview of this book

Lex Sheehan begins slowly, using easy-to-understand illustrations and working Go code to teach core functional programming (FP) principles such as referential transparency, laziness, recursion, currying, and chaining continuations. This book is a tutorial for programmers looking to learn FP and apply it to write better code. Lex guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. The book is divided into four modules. The first module explains the functional style of programming: pure functional programming, manipulating collections, and using higher-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, increase performance, and build better cloud-native applications. The last module covers Category Theory, Functors, Monoids, Monads, Type classes and Generics. By the end of the book, you will be adept at building applications the FP way.
Table of Contents (21 chapters)
Title Page
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

The shape of a functor


A functor is an algebraic type that accepts a value (or usually, a list of values) and has a map function that applies to each element in the list to produce a new functor of the same shape. What is a shape?

Let's look at an imperative example:

ints := []int{1,2,3}
impInts := []int{}
for _, v := range ints {
   impInts = append(impInts, v + 2)
}
fmt.Println("imperative loop:", impInts)

Here's the output:

imperative loop: [3 4 5]

The shape in this example means a slice with three ints. We started with a slice with three ints, ran our imperative code, and ended up with a slice with three ints.

A functor gets the same results (three elements in and three elements out) but a functor does it in a different way.

We give our functor the same slice of three ints. The functor executes add2 for each int and returns a slice with three ints (each of which is two greater than before):

add2 := func(i int) int { return i + 2 }
fpInts := Functor(ints).Map(add2)
fmt.Println("fp map:", fpInts...