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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

Trees

A tree is a hierarchical form of data structure. Data structures such as lists, queues, and stacks are linear in that the items are stored in a sequential way. However, a tree is a non-linear data structure, as there is a parent-child relationship between the items. The top of the tree’s data structure is known as a root node. This is the ancestor of all other nodes in the tree.

Tree data structures are very important, owing to their use in various applications, such as parsing expressions, efficient searches, and priority queues. Certain document types, such as XML and HTML, can also be represented in a tree.

In this chapter, we will cover the following topics:

  • Terms and definitions of trees
  • Binary trees and binary search trees
  • Tree traversal
  • Binary search trees
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