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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

Functional reactive programming


FP avoids immutability and side-effects. In some circumstances, the application should react to dynamic value/data changes. For instance, we may need to change the user interface of an iOS application to reflect received data from a backend or database system. How would we do this without states and mutable values?

Imperative programming captures these dynamic values only indirectly, through state and mutations. The complete history (past, present, and future) has no first-class representation. Moreover, only discretely evolving values can be (indirectly) captured, as the imperative paradigm is temporally discrete.

FRP provides a way to handle dynamic value changes while still retaining the FP style. FRP, as its name suggests, is a combination of FP and reactive programming. Reactive programming makes it possible to deal with certain data types that represent values over time. These data types are called time flow or event streams in different FP languages....

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