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Hands-On Data Structures and Algorithms with Python – Third Edition

You're reading from   Hands-On Data Structures and Algorithms with Python – Third Edition Store, manipulate, and access data effectively and boost the performance of your applications

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801073448
Length 496 pages
Edition 3rd Edition
Languages
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Author (1):
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Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Data Types and Structures FREE CHAPTER 2. Introduction to Algorithm Design 3. Algorithm Design Techniques and Strategies 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Heaps and Priority Queues 8. Hash Tables 9. Graphs and Algorithms 10. Searching 11. Sorting 12. Selection Algorithms 13. String Matching Algorithms 14. Other Books You May Enjoy
15. Index
Appendix: Answers to the Questions

Implementation of quicksort

The main task of the quicksort algorithm is to first place the pivot element in its correct position so that we divide the given unsorted list into two sublists (left and right sublists); this process is called the partitioning step. The partitioning step is very important in understanding the implementation of the quicksort algorithm, so we will understand the implementation of the partitioning step first with an example. In this, given a list of elements, all the elements will be arranged in such a way that elements smaller than the pivot element will be on the left side of it, and elements greater than the pivot will be arranged to the right of the pivot element.

Let’s look at an example to understand the implementation. Consider the following list of integers. [43, 3, 20, 89, 4, 77]. We shall partition this list using the partition function:

[43, 3, 20, 89, 4, 77]

Consider the code of the partition function below; we will discuss...

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