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

Limits of recursive functions

Recursive functions have a performance penalty. When creating a recursive function call, we are copying over the state from one function stack to the next. This involves copying a lot of data into our working memory, but additional computational overhead is required to make the function call itself happen. The main limitation of solving problems recursively, at least in Go, is that we will eventually run out of space to make the recursive call happen. The other limitation is that a recursive solution is often slower than an iterative one.

Measuring the performance of recursive versus iterative solutions

Before we look at the implications for the space our programs are using during recursive function calls, let’s compare the performance of recursive and iterative solutions that fit within our working memory. To demonstrate this, we will use the same iterative and recursive solution to the factorial problem that we saw at the start of this chapter...