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Programming Kotlin

You're reading from Programming Kotlin Get to grips quickly with the best Java alternative

Product type Paperback

Published in Jan 2017

Publisher Packt

ISBN-13 9781787126367

Length 420 pages

Edition 1st Edition

Languages

Java

Tools

IntelliJ Idea

Concepts

Programming Language

Authors (2):

Stefan Bocutiu

Stephen Samuel

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Table of Contents (20) Chapters

Programming Kotlin

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started with Kotlin FREE CHAPTER

2. Kotlin Basics

3. Object-Oriented Programming in Kotlin

4. Functions in Kotlin

5. Higher Order Functions and Functional Programming

6. Properties

7. Null Safety, Reflection, and Annotations

8. Generics

9. Data Classes

10. Collections

11. Testing in Kotlin

12. Microservices with Kotlin

13. Concurrency

Chapter 5. Higher Order Functions and Functional Programming

In the previous chapter, we introduced Kotlin's support for functions and the various features we can use while writing functions. In this chapter, we continue on that theme by discussing higher order functions and how we can use them to write cleaner and more expressive code.

In this chapter, we will cover:

Higher order functions and closures
Anonymous functions
Function references
Functional programming idioms
Custom DSLs

The rest of the chapter is locked

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Authors (2)

Samuel

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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Bocutiu

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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