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Kotlin Design Patterns and Best Practices

You're reading from   Kotlin Design Patterns and Best Practices Elevate your Kotlin skills with classical and modern design patterns, coroutines, and microservices

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805127765
Length 474 pages
Edition 3rd Edition
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Author (1):
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Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Classical Patterns
2. Getting Started with Kotlin FREE CHAPTER 3. Working with Creational Patterns 4. Understanding Structural Patterns 5. Getting Familiar with Behavioral Patterns 6. Section 2: Reactive and Concurrent Patterns
7. Introducing Functional Programming 8. Threads and Coroutines 9. Controlling the Data Flow 10. Designing for Concurrency 11. Section 3: Practical Application of Design Patterns
12. Idioms and Anti-Patterns 13. Practical Functional Programming with Arrow 14. Concurrent Microservices with Ktor 15. Reactive Microservices with Vert.x 16. Assessments
17. Other Book You May Enjoy
18. Index

Recursion

Recursion is a function invoking itself with new arguments. Many well-known algorithms, such as depth-first search, rely on recursion.

Here is an example of a very inefficient function that uses recursion to calculate the sum of all the numbers in a given list:

fun sumRec(i: Int, sum: Long, numbers: List<Int>): Long {
    return if (i == numbers.size) {
        return sum
    } else {
        sumRec(i+1, numbers[i] + sum, numbers)
    }
}

We often try to avoid recursion due to the stack overflow errors that we may receive if our call stack is too deep. You can call this function with a list that contains a million numbers to demonstrate this:

val numbers = List(1_000_000) {it}
println(sumRec(0, 0, numbers))
// Crashed pretty soon, around 7K

However, Kotlin supports an optimization called tail recursion. One of the great benefits of tail recursion is that it avoids the dreaded stack overflow exception. If there is only a single recursive call in...

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