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  • Book Overview & Buying Functional Programming in Go
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Functional Programming in Go

Functional Programming in Go

By : Dylan Meeus
4.9 (12)
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Functional Programming in Go

Functional Programming in Go

4.9 (12)
By: Dylan Meeus

Overview of this book

While Go is a multi-paradigm language that gives you the option to choose whichever paradigm works best for the particular problem you aim to solve, it supports features that enable you to apply functional principles in your code. In this book, you’ll learn about concepts central to the functional programming paradigm and how and when to apply functional programming techniques in Go. Starting with the basic concepts of functional programming, this Golang book will help you develop a deeper understanding of first-class functions. In the subsequent chapters, you’ll gain a more comprehensive view of the techniques and methods used in functional languages, such as function currying, partial application, and higher-order functions. You’ll then be able to apply functional design patterns for solving common programming challenges and explore how to apply concurrency mechanisms to functional programming. By the end of this book, you’ll be ready to improve your code bases by applying functional programming techniques in Go to write cleaner, safer, and bug-free code.
Table of Contents (17 chapters)
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1
Part 1: Functional Programming Paradigm Essentials
7
Part 2: Using Functional Programming Techniques
11
Part 3: Design Patterns and Functional Programming Libraries

Map/transformation functions

The next category of functions which we will look at is Map functions. These are functions that apply a transformation function to each element in a container, changing the element and possibly even the data type. This is one of the most powerful functions in a functional programmer’s toolbox, as this allows you to transform your data according to a given rule.

There are two main implementations that we will look at. The first implementation is the simple Map function, whereby an operation is performed on each element, but the data type remains the same before and after the transformation – for example, multiplying each element in a slice. This will change the content of the values, but not the type of the values. The other implementation of Map is one whereby the data types can change as well. This will be implemented as FMap, and this is what we introduced in the previous chapter when looking into Monads.

Transformations while maintaining...

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Functional Programming in Go
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