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Swift Functional Programming

You're reading from   Swift Functional Programming Ease the creation, testing, and maintenance of Swift codes

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787284500
Length 316 pages
Edition 2nd Edition
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Author (1):
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Dr. Fatih Nayebi Dr. Fatih Nayebi
Author Profile Icon Dr. Fatih Nayebi
Dr. Fatih Nayebi
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Functional Programming in Swift FREE CHAPTER 2. Functions and Closures 3. Types and Type Casting 4. Enumerations and Pattern Matching 5. Generics and Associated Type Protocols 6. Map, Filter, and Reduce 7. Dealing with Optionals 8. Functional Data Structures 9. Importance of Immutability 10. Best of Both Worlds and Combining FP Paradigms with OOP 11. Case Study - Developing an iOS Application with FP and OOP Paradigms

Higher-order functions


As we have seen in the Defining and using function parameters and Function types sections of this chapter, functions can accept functions as parameters in Swift. Functions that can accept other functions as parameters are called higher-order functions. This concept, along with first-class functions, empowers FP and function decomposition.

As this topic is essential in FP, we will go through another simple example.

Suppose that we need to develop two functions that add and subtract two Int values as follows:

func subtractTwoValues(a: Int, b: Int) -> Int { 
    return a - b 
} 

func addTwoValues(a: Int, b: Int) -> Int { 
    return a + b 
} 

Also, we need to develop functions to calculate the square and triple of two Int values as follows:

func square(a: Int) -> Int { 
    return a * a 
} 

func triple(a: Int) -> Int { 
    return a * a * a // or return square(a) * a 
} 

Suppose we need another function that subtracts the two squared values:

func subtractTwoSquaredValues...
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