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Hands-On Data Structures and Algorithms with Kotlin

You're reading from   Hands-On Data Structures and Algorithms with Kotlin Level up your programming skills by understanding how Kotlin's data structure works

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788994019
Length 220 pages
Edition 1st Edition
Languages
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Authors (2):
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Chandra Sekhar Nayak Chandra Sekhar Nayak
Author Profile Icon Chandra Sekhar Nayak
Chandra Sekhar Nayak
Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Data Structures FREE CHAPTER
2. A Walk Through - Data Structures and Algorithms 3. Arrays - First Step to Grouping Data 4. Section 2: Efficient Grouping of Data with Various Data Structures
5. Introducing Linked Lists 6. Understanding Stacks and Queues 7. Maps - Working with Key-Value Pairs 8. Section 3: Algorithms and Efficiency
9. Deep-Dive into Searching Algorithms 10. Understanding Sorting Algorithms 11. Section 4: Modern and Advanced Data Structures
12. Collections and Data Operations in Kotlin 13. Introduction to Functional Programming 14. Other Books You May Enjoy 15. Assessments

Immutability

In today's world, we cannot think of any application without concurrency. From network requests, to database/file access, to performing some calculations/computations in the background, concurrency is everywhere.

When dealing with concurrency, we need to make sure that our programs are thread-safe. Immutability is a great help, in that regard.

By default, functional codes are thread-safe, as they encourage immutability. So, what is immutability? If you go by the dictionary, when something is immutable, it is unchangeable; in programming, it refers to a variable that will always hold the same value after initialization. Thus, if the variable's value is not changing, it's automatically thread-safe.

Implementing immutability in Kotlin

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