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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

Heaps and Priority Queues

A heap data structure is a tree-based data structure in which each node of the tree has a specific relationship with other nodes, and they are stored in a specific order. Depending upon the specific order of the nodes in the tree, heaps can be of different types, such as a min heap and a max heap.

A priority queue is an important data structure that is similar to the queue and stack data structures that stores data along with the priority associated with them. In this, the data is served according to the priority. Priority queues can be implemented using an array, linked list, and trees; however, they are often implemented using a heap as it is very efficient.

In this chapter, we will learn the following:

  • The concept of the heap data structure and different operations on it
  • Understanding the concept of the priority queue and its implementation using Python
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