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Hands-On Design Patterns with Swift

Hands-On Design Patterns with Swift

By : Vilmart, Giordano Scalzo, De Simone
4.7 (3)
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Hands-On Design Patterns with Swift

Hands-On Design Patterns with Swift

4.7 (3)
By: Vilmart, Giordano Scalzo, De Simone

Overview of this book

Swift keeps gaining traction not only amongst Apple developers but also as a server-side language. This book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. You’ll begin with a quick refresher on Swift, the compiler, the standard library, and the foundation, followed by the Cocoa design patterns – the ones at the core of many cocoa libraries – to follow up with the creational, structural, and behavioral patterns as defined by the GoF. You'll get acquainted with application architecture, as well as the most popular architectural design patterns, such as MVC and MVVM, and learn to use them in the context of Swift. In addition, you’ll walk through dependency injection and functional reactive programming. Special emphasis will be given to techniques to handle concurrency, including callbacks, futures and promises, and reactive programming. These techniques will help you adopt a test-driven approach to your workflow in order to use Swift Package Manager and integrate the framework into the original code base, along with Unit and UI testing. By the end of the book, you'll be able to build applications that are scalable, faster, and easier to maintain.
Table of Contents (17 chapters)
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Reactive programming


In the previous section, we looked at promises and futures, trying to get a thorough understanding of the way they work and presenting two popular promises frameworks that help you use promises in your programs. Here, we will consider a completely different approach to asynchronous computation, Reactive Programming (RP). The basic idea behind RP is that of asynchronous data streams, such as the stream of events that are generated by mouse clicks, or a piece of data coming through a network connection. Anything can be a stream; there are really no constraints. The only property that makes it sensible to model any entity as a stream is its ability to change at unpredictable times. The other half of the picture is the idea of observers, which you can think of as agents that subscribe to receive notifications of new events in a stream. In between, you have ways of transforming those streams, combining them, creating new streams, filtering them, and so on.

Note

A related but...

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