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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 have discussed an important data structure, in other words, the heap data structure. We also discussed heap properties for min-heap and max-heap. We have seen the implementation of several operations that can be applied to the heap data structure, such as heapifying, and the insertion and deletion of a data element from the heap. We have also discussed two of the important applications of the heap—heap sort and a priority queue. The heap is an important data structure since it has many applications, such as sorting, selecting minimum and maximum values in a list, graph algorithms, and priority queues. Moreover, the heap can also be useful when we have to repeatedly remove a data object with the highest or lowest priority values.

In the next chapter, we will discuss the concepts of Hashing and Symbol Tables.

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