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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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The filter function


The filter function takes a function that, given an element in array, returns Bool, indicating whether the element should be included in the resulting array. The filter method is declared as follows in Swift standard library:

public func filter(_ isIncluded: (Element) throws -> Bool) rethrows -> [Element] 

The definition is similar to the map method with the following differences:

  • The filter function takes a closure that receives elements of itself and returns a Bool value
  • The result of the filter method will be an array of its own type

Let's examine the following code to understand how it works:

let numbers = [10, 30, 91, 50, 100, 39, 74] 
let evenNumbers = numbers.filter { $0 % 2 == 0 } 

The resulting evenNumbers array will be [10, 30, 50, 100, 74].

Let's implement the filter function ourselves. In fact, its implementation is going to be similar to the implementation of map, except that it does not require a second generic specifying the codomain. Instead, it conditionally...

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