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

Measuring performance in mutable and immutable code

A common complaint about immutable code is that it is less performant than its mutable counterpart. Even without doing a deep dive into the performance characteristics of the Go runtime, this seems like a reasonable statement. After all, in the immutable variant, a new copy of an object is spawned for each function call. In practice, however, these differences in performance are often negligible.

Still, even if there would be a significant performance impact, you need to question if the performance sacrifices make sense in your context. In return for some performance, you are getting thread-safe, easy-to-maintain, understand, and test code. As engineers, it is often extremely tempting to go for the most optimal solution, using as little memory and CPU time as possible. However, for many real-world applications, the performance impact is small enough that this is not something the end user would notice. And for other engineers maintaining...