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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
2. A Walk Through - Data Structures and Algorithms FREE CHAPTER 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

The beauty of immutable arrays

Immutability is one of the key principles of modern programming languages. So, it's obvious that Kotlin also has immutability implementation. Because of this, Kotlin's collections package has treated immutable data structures as first-class citizens. A few examples might make you understand this more:

val days = listOf("Sunday", "Monday", "Tuesday", "Wednesday")
val months = arrayListOf("January", "February", "March", "April")

In the preceding snippet, days is an immutable list whereas months is a mutable one. For example, months.add("May") is a valid statement whereas we cannot add an item to the days list. The only way to do so is to get a new list out of the existing one by adding the new item. Here's the method:

val modifiedDays = days + &quot...
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