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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

Summary

A graph is a non-linear data structure, which is very important due to the large number of real-world applications it has. In this chapter, we have discussed different ways to represent a graph in Python, using lists and dictionaries. Further, we learned two very important graph traversal algorithms, i.e., depth-first search (DFS) and breadth-first search (BFS). Moreover, we also discussed two very important algorithms for finding an MST, i.e. Kruskal’s algorithm and Prim’s algorithm.

In the next chapter, we will discuss searching algorithms and the various methods using which we can efficiently search for items in lists.

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