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Hands-On Data Structures and Algorithms with Python - Second Edition

You're reading from  Hands-On Data Structures and Algorithms with Python - Second Edition

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Pages 398 pages
Edition 2nd Edition
Languages
Authors (2):
Dr. Basant Agarwal Dr. Basant Agarwal
Profile icon Dr. Basant Agarwal
Benjamin Baka Benjamin Baka
Profile icon Benjamin Baka
View More author details
Toc

Table of Contents (16) Chapters close

Preface 1. Python Objects, Types, and Expressions 2. Python Data Types and Structures 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Quick sort algorithms

The quick sort algorithm is very efficient for sorting. The quick sort algorithm falls under the divide and conquer class of algorithms, similar to the merge sort algorithm, where we break (divide) a problem into smaller chunks that are much simpler to solve (conquer).

List partitioning

The concept behind quick sorting is partitioning a given list or array. To partition the list, we first select a pivot. All the elements in the list will be compared with this pivot. At the end of the partitioning process, all elements that are less than the pivot will be to the left of the pivot, while all elements greater than the pivot will lie to the right of the pivot in the array.

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