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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

Introducing Linked Lists

So far, we've looked at using an array when several items need to be grouped together. But arrays weren't enough to fulfill all of our engineering problems. In most cases, we weren't aware of the number of items we want to group together. So, similar to the saying, necessity is the mother of invention, we created a data structure by wrapping an array into a custom class and making it grow able when required. This helped us in grouping multiple items without even knowing their size. We called them Vector or ArrayList. Though our size requirements are solved by ArrayList, we've a basic problem in ArrayList and that is its performance while inserting. If the ArrayList is full and we try to insert an item, we need to create a bigger array and copy all existing items to the new one, which might take more time if the size is big. This is...

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