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Python Data Structures and Algorithms

You're reading from Python Data Structures and Algorithms Improve application performance with graphs, stacks, and queues

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781786467355

Length 310 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Benjamin Baka

View More author details

Table of Contents (20) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Python Objects, Types, and Expressions

2. Python Data Types and Structures FREE CHAPTER

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. Design Techniques and Strategies

13. Implementations, Applications, and Tools

Summary

In this chapter, we used our knowledge of linking nodes together to create other data structures, namely stacks and queues. We have seen how these data structures closely mimic stacks and queues in the real world. Concrete implementations, together with their varying types, have been shown. We later applied the concept of stacks and queues to write real-life programs.

We shall consider trees in the next chapter. The major operations on a tree will be discussed, likewise the different spheres in which to apply the data structure.

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Authors (1)

Benjamin Baka

Benjamin Baka

Benjamin Baka is a full-stack software developer and is passionate about cutting-edge technologies and elegant programming techniques. He has 10 years in different technologies, from C++, Java, Ruby, Python to Qt. Some of the projects he's working on can be found on his GitHub page. He is currently working on exciting technologies all from the camp of mPedigree Network.

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