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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

In this chapter, we studied the concepts that underlie lists, such as nodes and pointers to other nodes. We have discussed singly linked lists, doubly linked lists, and circular linked lists. We have seen various operations that can be applied to these data structures and their implementations using Python.

These types of data structures have certain advantages over arrays. In the case of arrays, insertion and deletion are quite time-consuming as these operations require the shifting of elements downward and upward, respectively, due to contiguous memory allocations. On the other hand, in the case of linked lists, these operations require only changes in pointers. Another advantage of linked lists over arrays is the allowance of a dynamic memory management scheme that allocates memory during the runtime as and when needed, while the array is based on a static memory allocation scheme.

The singly linked list can traverse in a forward direction only, while traversal...

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