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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 Lambda Calculus


Lambda calculus is a logical system of rules for expressing computation using variable binding, abstraction, and function application. We can define anonymous functions and apply those functions. Lambda calculus would be limited if it weren't for recursion. Pure functional programming languages derived from lambda calculus include LISP, Haskell, and ML.

Lambda Expressions

A lambda expression is an instance of a functional interface consisting of a set of terms. These terms can be variables like x, y, and z. These are not mutating variables, but rather placeholders for values or other lambda terms. The variable inside of x is applied to whatever it is bound to. The variable x is inside the term t. The lambda abstraction is defined as λ x.t.

For example, if we have the equation f(x) = x2 and replace x with 5, we have f(5) =  52.

When the function f is applied to x, we get x2. In our example, the function f is applied to the argument 5 and we get 52.

We can eliminate the parentheses...

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