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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

Composable concurrency


Functional programming is not only about composing functions and algebraic data structures--it makes concurrency composable--something that's virtually impossible with other programming paradigms.

How can we take what we've learned about morphisms and apply it to creating highly concurrent processing models? Suppose we start with a monolithic application with a single binary executable.

What if we can focus only on the morphisms, that is, the interface of inputs and outputs, in our system?

Consider that we're given the following:

  • Inputs and outputs can be mapped through isomorphisms
  • The state exists in the groupings of our objects
  • Morphisms are stateless

Finite state machines

Can we assume that the finite state machines (FSMs) of our system exist within our groupings? (Where the FSM would be like the A and B groupings that we looked at previously.)

Let's imagine systematically decomposing our FSMs into the smallest possible components.

Starting with our context component C,...

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