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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

Multidimensional array

In Kotlin, a multidimensional array is nothing but an array of arrays. The following example of creating a multidimensional array will give you a better understanding of it:

val numbers = arrayOf(
arrayOf(1, 2, 3),
arrayOf(4, 5, 6),
arrayOf(7, 8, 9)
)

In the preceding example, the parent array has three elements and all of these items are arrays by themselves. All of the child arrays have three elements each, but it isn't mandatory to have the same number of elements in each child array. Have a look at the following example:

val food = arrayOf(
arrayOf("Apple", "Apricot", "Avocado"),
arrayOf("Banana", "Broccoli", "Beetroot"),
arrayOf("Cherry", "Carrot")
)

Here, we tried to fill in a few vegetable and fruit names in an array alphabetically. Note that the array...

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