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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

Priority queues

A priority queue is a data structure that is similar to a queue in which data is retrieved based on the First In, First Out (FIFO) policy, but in the priority queue, priority is attached with the data. In the priority queue, the data is retrieved based on the priority associated with the data elements, the data elements with the highest priority are retrieved before the lower priority data elements, and if two data elements have the same priority, they are retrieved according to the FIFO policy.

We can assign the priority of the data depending upon the application. It is used in many applications, such as CPU scheduling, and many algorithms also rely on priority queues, such as Dijkstra’s shortest-path, A* search, and Huffman codes for data compression.

So, in the priority queue, the item with the highest priority is served first. The priority queue stores the data according to the priority associated with the data, so insertion of an element will be...

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