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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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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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