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Swift Functional Programming

Swift Functional Programming

By : Nayebi
4.3 (3)
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Swift Functional Programming

Swift Functional Programming

4.3 (3)
By: 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 (12 chapters)
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Map, Filter, and Reduce

In previous chapters, we briefly touched on the map function as an example of a built-in higher-order function. In this chapter, we will explore this topic further and get familiar with the map, flatMap, filter, and reduce functions in Swift, together with examples. We will also get familiar with the category/type theory concepts such as higher-kinded types (Monad, Functor, and Applicative Functor).

This chapter will cover the following topics with coding examples:

  • Functors
  • Applicative Functors
  • Monads
  • The map function
  • The flatMap method
  • The filter function
  • The reduce function
  • The apply function
  • The join function
  • Chaining higher-order functions
  • The zip function
  • Practical examples

Collections are used everywhere in our day-to-day development, and to be able to use collections declaratively, we need means such as map, filter, and reduce. Before going through these functions that are built...

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