Book Image

Hands-On Design Patterns with Kotlin

By : Alexey Soshin
Book Image

Hands-On Design Patterns with Kotlin

By: Alexey Soshin

Overview of this book

Design patterns enable you as a developer to speed up the development process by providing you with proven development paradigms. Reusing design patterns helps prevent complex issues that can cause major problems, improves your code base, promotes code reuse, and makes an architecture more robust. The mission of this book is to ease the adoption of design patterns in Kotlin and provide good practices for programmers. The book begins by showing you the practical aspects of smarter coding in Kotlin, explaining the basic Kotlin syntax and the impact of design patterns. From there, the book provides an in-depth explanation of the classical design patterns of creational, structural, and behavioral families, before heading into functional programming. It then takes you through reactive and concurrent patterns, teaching you about using streams, threads, and coroutines to write better code along the way By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size.
Table of Contents (13 chapters)

Fold/Reduce

Much like forEach(), both fold() and reduce() are terminating functions. But instead of terminating with Unit, which is not useful, they terminate with a single value of the same type.

The most common example of reduce is, of course, for adding up stuff. With the list of people from the previous example, we can do the following:

println(people.reduce {p1, p2 ->
Person("Combined", "Age", p1.age + p2.age)
})

The output of the preceding code will be as follows:

Person(firstName=Combined, lastName=Age, age=64)

Well, combining a lot of people into one doesn't make much sense, unless you're a fan of some horror movies.

But with reduce, we can also compute who's the oldest or the youngest in the list:

println(people.reduce {p1, p2 ->
if (p1.age > p2.age) { p1 } else { p2 }
})

The second function we're about to...