Book Image

Functional Programming in Go

By : Dylan Meeus
Book Image

Functional Programming in Go

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)
1
Part 1: Functional Programming Paradigm Essentials
7
Part 2: Using Functional Programming Techniques
11
Part 3: Design Patterns and Functional Programming Libraries

Data reducing functions

The final group we are going to take a look at is reducer functions. These are functions that apply an operation to a container of elements and derive a single value from them. Combined with the functions we have seen earlier in this chapter, we can compose the majority of our applications. At least, as far as data manipulation goes. There are a few different names for functions such as this in functional programming. In Haskell, you’ll find functions named Fold or Fold + a suffix, such as Foldr, while in some languages they are called Reduce. We will use the Reduce terminology for the remainder of this book.

The first function we will look at is simply Reduce. This higher-order function abstracts operations to two data elements of the list. It then repeats this operation, accumulating the result, until a single answer is retrieved. Just as with the Filter and Map functions, these functions are pure, so the actual input data is never changed.

The...