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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

Managing Complexity


As systems engineers, we must build and integrate elements and subsystems to achieve a desired objective. There can be a lot of moving parts: various APIs and communication protocols, various data schemas, various security interfaces to traverse. Our biggest challenge is, How do we manage all this complexity?

The best tool for the job

The best tool we have  to help manage complexity is composition. Functional programming to the rescue!

Our job is to decompose the elements of our system into atomic parts, fit them back together into subsystems and wire them together in a distributed, microservice based environment.

How do we know when have we sufficiently decomposed an element?

A: When we can treat the element as a black box, i.e., when we do not need visibility into the function to understand what it does.

Divide and conquer

FP gives us the tools and techniques we need to divide our monolithic applications into microservices.

In Chapter 4, SOLID Design in Go, we learned that...

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