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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

The importance of Type systems to FP


The purpose of a type system is to reduce bugs by defining the interfaces between the different functions in a program and verifying that those functions can be reliably connected. Types can be a simple as strings, ints, and booleans or can be a complex data structure with embedded fields and interfaces. Types can be checked at compile time or runtime.

The Lambda Calculus was originally untyped, but Alonzo Church found that that though it was more expressive, it caused inconsistencies. So, Church introduced a typed version to simplify computation. We use type systems for similar reasons, that is, to improve determinism and to help prevent bugs.

Since in FP a function is a data type, we need to define our functions' type for the type system.

A type system can also increase our programs' runtime performance. Go is a statically compiled language, so the data types are known at compile time. This makes type erasure possible. So, Go does not have to require our...

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