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Learn Kotlin Programming

You're reading from   Learn Kotlin Programming A comprehensive guide to OOP, functions, concurrency, and coroutines in Kotlin 1.3

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789802351
Length 514 pages
Edition 2nd Edition
Languages
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Authors (2):
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Stefan Bocutiu Stefan Bocutiu
Author Profile Icon Stefan Bocutiu
Stefan Bocutiu
Stephen Samuel Stephen Samuel
Author Profile Icon Stephen Samuel
Stephen Samuel
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Fundamental Concepts in Kotlin FREE CHAPTER
2. Getting Started with Kotlin 3. Kotlin Basics 4. Object-Oriented Programming in Kotlin 5. Section 2: Practical Concepts in Kotlin
6. Functions in Kotlin 7. Higher-Order Functions and Functional Programming 8. Properties 9. Null Safety, Reflection, and Annotations 10. Generics 11. Data Classes 12. Collections 13. Testing in Kotlin 14. Microservices with Kotlin 15. Section 3: Advanced Concepts in Kotlin
16. Concurrency 17. Coroutines 18. Application of Coroutines 19. Kotlin Serialization 20. Other Books You May Enjoy

Optional

Throughout the previous sections, we discussed Kotlin's approach to null safety. But this is not the only approach. Languages such as Haskell have provided an alternative for many years. In Haskell's case, this is called the Maybe type. In Scala there is something similar called the Option type, and in the most recent version of Java (at the time of writing, Java 8) there is Optional.

All of these types—Maybe, Option, Optional—aim to do the same thing. That is, they use a type to indicate that a function or expression may or may not return a value.

In functional programming, they are most often an algebraic data type with two values—one that represents a value and one that represents the lack of a value. In Haskell they are called Just and Nothing. In Scala they are called Some and None. In Java only a single type is used.

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