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

OOP design principles


In this section, we will look at some of the problems with the OOP approach, and OOP and FP solutions to these problems.

In general, OOP is being criticized in the following manner:

  • Binding a data structure to behavior is a mechanism of state encapsulation that hides the underlying problem instead of solving it.
  • A great deal of effort goes into making inheritance possible. Ironically, object-orientated patterns themselves favor composition over inheritance. Ultimately, in handling two responsibilities--subtyping and reusing-inheritance is not good with either subtyping or reusing.

OOP solutions to these problems include SOLID and Domain-driven Design (DDD) principles. The following are the SOLID principles:

  • The Single Responsibility principle (SRP)
  • The Open/Closed principle (OCP)
  • The Liskov Substitution principle (LSP)
  • The Interface Segregation Principle (ISP)
  • The Dependency Inversion principle (DIP)

DDD principles are proposed to solve OOP problems. Also, FP addresses these...