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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 (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
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

Pattern matching


Programming languages that support algebraic data types often support a set of features to work with fields of composite types or variants of a type. These features are essential in defining functions to operate on different fields or variants in a type-safe manner.

One such feature is called pattern matching, that enables us to define functions that operate differently on each of a type's variants and extract individual fields from a composite type while maintaining the language's type safety guarantees.

In fact, the compilers of many languages with pattern matching will issue warnings or errors if we do not handle all of a type's fields or variants properly. These warnings help us write safer and more robust code.

The following example presents simple pattern matching with a switch statement:

let theTeam = MLSTeam.montreal 

switch theTeam { 
case .montreal: 
    print("Montreal Impact") 
case .toronto: 
    print("Toronto FC") 
case .newYork: 
    print("Newyork Redbulls...
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