Book Image

Swift Functional Programming - Second Edition

By : Dr. Fatih Nayebi
Book Image

Swift Functional Programming - Second Edition

By: Dr. Fatih Nayebi

Overview of this book

Swift is a multi-paradigm programming language enabling you to tackle different problems in various ways. Understanding each paradigm and knowing when and how to utilize and combine them can lead to a better code base. Functional programming (FP) is an important paradigm that empowers us with declarative development and makes applications more suitable for testing, as well as performant and elegant. This book aims to simplify the FP paradigms, making them easily understandable and usable, by showing you how to solve many of your day-to-day development problems using Swift FP. It starts with the basics of FP, and you will go through all the core concepts of Swift and the building blocks of FP. You will also go through important aspects, such as function composition and currying, custom operator definition, monads, functors, applicative functors,memoization, lenses, algebraic data types, type erasure, functional data structures, functional reactive programming (FRP), and protocol-oriented programming(POP). You will then learn to combine those techniques to develop a fully functional iOS application from scratch
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Lists


There are multiple types of lists including linked lists, doubly linked lists, multiple linked lists, circular linked lists, queues, and stacks.

In this section, we will present a simple linked list that is one of the simplest and most popular data structures in imperative programming languages.

A linked list is a linear collection of data elements called nodes pointing to the next node using pointers. Linked lists contain their data in a linear and sequential manner. Simply put, each node is composed of data and a reference to the next node in the sequence, as shown in the following figure:

Let's start with a simple version:

enum LinkedList<Element: Equatable> { 
    case end 
    indirect case node(data: Element, next: LinkedList<Element>) 
} 

Our approach is similar to our BST implementation approach. The difference resides in the node case that has a data element and a pointer to its next element, which is also a LinkedList.

Empty LinkedList

Our LinkedList needs a method to...