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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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Toc

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

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. Similarly, a stack data structure allows us to store and read data from one end, and the element which is added last is picked up first. Thus, a stack is a last in, first out (LIFO) structure:

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.

There are two primary operations that are performed on stacks—push and pop. When an element is added to the top of the stack, it is pushed onto the stack. When...

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