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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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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

First-class functions


In the Function types section of this chapter, we saw that we can define function types and store and pass functions around. In practice, this means that Swift treats functions as values. To explain this, we will need to examine a couple of examples:

let name: String = "Grace" 

In this code example, we create a constant of the String type name and store a value ("Grace") into it.

When we define a function, we need to specify the type of parameter, as follows:

func sayHello(name: String) { 
    print("Hello, \(name)") 
} 

In this example, our name parameter is of the String type. This parameter could be any other value type or reference type. Simply, it could be Int, Double, Dictionary, Array, Set, or it could be an object type such as an instance of class, struct, or enum.

Now, let's call this function:

sayHello(name: "Your name") // or 
sayHello(name: name) 

Here, we pass a value for this parameter. In other words, we pass one of the previously mentioned types with their respective...

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