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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

Queues

Another important data structure is the queue, which is used to store data similarly to stacks and linked lists, with some constraints and in a specific order. The queue data structure is very similar to the regular queue you are accustomed to in real life. It is just like a line of people waiting to be served in sequential order at a shop. Queues are a fundamentally important concept to grasp since many other data structures are built on them.

A queue works as follows. The first person to join the queue usually gets served first, and everyone will be served in the order in which they joined the queue. The acronym FIFO best explains the concept of a queue. FIFO stands for first in, first out. When people are standing in a queue waiting for their turn to be served, service is only rendered at the front of the queue. Therefore, people are dequeued from the front of the queue and enqueued from the back where they wait their turn. The only time people exit the queue is when...

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