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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 reduce function


The reduce function reduces a list into a single value. Often referred to as fold or aggregate, it takes two parameters: a starting value and a function.

A function takes a running total and an element of the list as parameters and returns a value that is created by combining the elements in the list.

Unlike map, filter, and flatMap, which would return the same type, reduce changes the type. In other words, map, filter, and flatMap would take an array and provide a changed array. This is not the case with reduce as it can change an array to, for instance, a tuple or single value.

Swift provides the reduce method on sequences and has the following definition:

public func reduce<Result>(_ initialResult: Result, _ nextPartialResult: (Result, Element) throws -> Result) rethrows -> Result 

If we use the reduce method on our numbers array, the result of this call becomes 394:

let total = numbers.reduce(0) { $0 + $1 } 

We could also call reduce, as follows, as the + operator...

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