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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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Toc

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

Summary

So far, we have learned two different implementation of Map (HashMap and ArrayMap). Now, when to use what is an obvious question. To answer that, we have to remember how they work. As we know, HashMap requires more memory than ArrayMap, so we choose HashMap if memory is a constraint for us. Is memory the only parameter you should consider? Of course not. You are using these data structures to do some operations on them. We know that for the put operation in ArrayMap, we need to allocate new arrays and do the array copy operation, so it is a heavier operation in ArrayMap than in HashMap. The same thing applies with the remove operation, but the get (fetch) operation in ArrayMap is faster than HashMap as it uses binary search. So, we can conclude that if more operation is get (non mutable), then use ArrayMap; otherwise use HashMap.

Work HashMap ArrayMap
Memory More...
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