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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

Summary

In this chapter, we discussed an important data structure, i.e. tree data structures. Tree data structures in general provide better performance compared to linear data structures in search, insert, and deletion operations. We have also discussed how to apply various operations to tree data structures. We studied binary trees, which can have a maximum of two children for each node. Further, we learned about binary search trees and discussed how we can apply different operations to them. Binary search trees are very useful when we want to develop a real-world application in which the retrieval or searching of data elements is an important operation. We need to ensure that the tree is balanced for the good performance of binary search tree. We will discuss priority queues and heaps in the next chapter.

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