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

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789802351

Length 514 pages

Edition 2nd Edition

Languages

Kotlin

Concepts

Application Development

Authors (2):

Stefan Bocutiu

Stephen Samuel

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Table of Contents (21) Chapters

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

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Application of Coroutines

In Chapter 14, Coroutines, we introduced Kotlin's support for coroutines and described what they were and how they can be used. In this chapter, we will continue with this theme and discuss the real-world application of coroutines and the exciting libraries and APIs that are built on top of them.

In this chapter, we will cover the following topics:

Channels
select expression
Debugging with coroutines
Interoperability with blocking code

The rest of the chapter is locked

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Authors (2)

Stephen Samuel

Stephen Samuel is an accomplished developer with over 17 years of experience. He has worked with Java throughout his career, and in the past 5 years has focused on Scala. He has a passion for concurrency and Big Data technologies. Having spent the last few years in investment banking, he is currently working with Kotlin on a major Big Data investment project. Stephen is also active in the open source community, being the author of several high profile Scala and Kotlin libraries.

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Stefan Bocutiu

Stefan Bocutiu is a Big Data consultant with over 13 years of experience in software development. He enjoys coding in Scala, C#, and has a passion for stream processing technologies. With the team at DataMountaineer-he focuses on providing scalable, unified, real-time data pipelines allowing reactive decision making, analytics, and Hadoop integration. Stefan is passionate about motorsports, and while his racing skills are not good enough to allow him to compete, he tries to attend as many MotoGP races as possible. When he is not coding, he can be found at the climbing wall or at the gym. Occasionally, hiking and scrambling trips are on his calendar, and during the winter season, skiing trips are a must for him.

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