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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

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781801073448

Length 496 pages

Edition 3rd Edition

Languages

Python

Concepts

Data Structures and Algorithms

Author (1):

Dr. Basant Agarwal

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Table of Contents (17) Chapters

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

Exercises

What is the maximum number of edges (without self-loops) possible in an undirected simple graph with five nodes?
What do we call a graph in which all the nodes have equal degrees?
Explain what cut vertices are and identify the cut vertices in the given graph:

Figure 9.39: A sample graph

Assuming a graph G of order n, what will be the maximum number of cut vertices possible in graph G?

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Authors (1)

Dr. Basant Agarwal

Dr. Basant Agarwal

Dr. Basant Agarwal works as an Assistant Professor at the Indian Institute of Information Technology Kota. He holds a PhD and MTech from the Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India. Basant has 10+ years of experience in academia and research, and he was awarded the prestigious PostDoc Fellowship by the European Research Consortium for Informatics and Mathematics through the Alain Bensoussan Fellowship Programme. He has been teaching a course on data structures and algorithms to undergraduates for a while now and is highly experienced in working with Python for developing real-world applications. His research interests include NLP, machine learning, and deep learning.

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