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Learning Functional Programming in Go

You're reading from   Learning Functional Programming in Go Change the way you approach your applications using functional programming in Go

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787281394
Length 670 pages
Edition 1st Edition
Languages
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Author (1):
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Lex Sheehan Lex Sheehan
Author Profile Icon Lex Sheehan
Lex Sheehan
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Table of Contents (13) Chapters Close

Preface 1. Pure Functional Programming in Go 2. Manipulating Collections FREE CHAPTER 3. Using High-Order Functions 4. SOLID Design in Go 5. Adding Functionality with Decoration 6. Applying FP at the Architectural Level 7. Functional Parameters 8. Increasing Performance Using Pipelining 9. Functors, Monoids, and Generics 10. Monads, Type Classes, and Generics 11. Category Theory That Applies 12. Miscellaneous Information and How-Tos

Monoids


Monoids are the most basic way to combine any values. A monoid is algebra that is closed under an associative binary operation and has an identity element.

We can think of a monoid as a design pattern that allows us to quickly reduce (or fold) on a collection of a single type in a parallel way.

Monoid rules

A monoid is anything that satisfies the following rules:

  • Closure rule
  • Associativity rule
  • Identity rule

Let's discuss these rules in brief.

Closure rule

“If you combine two values of same type, you get another value of the same type.” 

Given two inputs of the same type, a monoid returns one value of the same type as the input.

Closure rule examples

1 + 2 = 3, and 3 is an integer.

1 + 2 + 3 also equals an integer.

1 + 2 + 3 + 4 also equals an integer.

Our binary operation has been extended into an operation that works on lists!

Closure axiom

If a, b ∈ S, then a + b ∈ S.

That says, if a and b are any two values in the set S of integers and if we apply the binary operation + to any two values, then...

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