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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

Composition operation


The composition operation, g.f or g after f, applies function f to x (which takes us from A to B) and passes the result of that to g (which takes us from B to C), and that nested set of operations is equivalent to the composition operation of g.f.

In Haskell, we define our composition operation on the first line and request to see the type definition of our composition operation on the second line. The third line is what the composition means:

> (.) g f = \x -> g (f x)
> :t (.)
(.) :: (b -> c) -> (a -> b) -> a -> c

The a, b, and c above correspond to the A, B, and C in the following diagram.

It says, when we pass  the A to B function (f) to the B to C function (g), we get the A to C function (g.f).

This is basic composition. Assuming we start at A, this diagram says we can get to C either by way of B (A to B to C) or by going directly from A to C. When we choose the short route (A to C), or g.f, we compose g and f in a nested manner, like g(f(x))...

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