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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

Linked Lists

Python’s list implementation is quite powerful and can encompass several different use cases. We have discussed the built-in data structures of lists in Python in Chapter 1, Python Data Types and Structures. Most of the time, Python’s built-in implementation of a list data structure is used to store data using a linked list. In this chapter, we will understand how linked lists work along with their internals.

A linked list is a data structure where the data elements are stored in a linear order. Linked lists provide efficient storage of data in linear order through pointer structures. Pointers are used to store the memory address of data items. They store the data and location, and the location stores the position of the next data item in the memory.

The focus of this chapter will be the following:

  • Arrays
  • Introducing linked lists
  • Singly linked lists
  • Doubly linked lists
  • Circular lists
  • Practical applications...
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