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Hands-On Data Structures and Algorithms with Python

You're reading from   Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Length 398 pages
Edition 2nd Edition
Languages
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Authors (2):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Table of Contents (16) Chapters Close

Preface 1. Python Objects, Types, and Expressions FREE CHAPTER 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

Priority queues and heaps

A priority queue is a data structure which is similar to the queue and stack data structures that stores data along with the priority associated with it. In the priority queue, the item with the highest priority is served first. Priority queues are often implemented using a heap, since it is very efficient for this purpose; however, it can be implemented using other data structures. It is a modified queue that returns the items in the order of highest priority, whereas the queue returns the items in the order that the items were added. The priority queue is used in many applications, such as CPU scheduling.

Let's consider an example to demonstrate the importance of priority queues over regular queues. Assume that, in a store, customers queue in a line where service is rendered only at the front of the queue. Each customer will spend some time in...

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