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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

Stacks

A stack is a data structure that stores data, similar to a stack of plates in a kitchen. You can put a plate on the top of the stack, and when you need a plate, you take it from the top of the stack.

The last plate that was added to the stack will be the first to be picked up from the stack:

Figure 5.1: Example of a stack

The preceding diagram depicts a stack of plates. Adding a plate to the pile is only possible by leaving that plate on top of the pile. To remove a plate from the pile of plates means to remove the plate that is on top of the pile.

A stack is a data structure that stores the data in a specific order similar to arrays and linked lists, with several constraints:

  • Data elements in a stack can only be inserted at the end (push operation)
  • Data elements in a stack can only be deleted from the end (pop operation)
  • Only the last data element can be read from the stack (peek operation)

A stack data structure allows...

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