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Learning Functional Programming in Go

Learning Functional Programming in Go

By : Sheehan
4.1 (8)
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Learning Functional Programming in Go

Learning Functional Programming in Go

4.1 (8)
By: Sheehan

Overview of this book

Lex Sheehan begins slowly, using easy-to-understand illustrations and working Go code to teach core functional programming (FP) principles such as referential transparency, laziness, recursion, currying, and chaining continuations. This book is a tutorial for programmers looking to learn FP and apply it to write better code. Lex guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. The book is divided into four modules. The first module explains the functional style of programming: pure functional programming, manipulating collections, and using higher-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, increase performance, and build better cloud-native applications. The last module covers Category Theory, Functors, Monoids, Monads, Type classes and Generics. By the end of the book, you will be adept at building applications the FP way.
Table of Contents (13 chapters)
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Interface composition

Much like a writer composes a book from a set of chapters or a chapter from a set of sections, as Go programmers, we can compose our software applications using functional composition.

We can take the functional composition approach to design a software solution that enables us to design complex APIs from a set of smaller ones.

For example, in the Viva La Duck example from the previous chapter, we composed the SurvivalBehaviors interface from two smaller ones:

type SurvivalBehaviors interface {
StrokeBehavior
EatBehavior
}

Nothing is difficult. Complex things are simply built upon smaller, simpler things! When we approach all our software design problems from this perspective, we are able to more easily model the real world--our applications become much easier to read and reason about.

...

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