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Hands-On Data Structures and Algorithms with Python

You're reading from   Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Length 398 pages
Edition 2nd Edition
Languages
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Authors (2):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (16) Chapters Close

Preface 1. Python Objects, Types, and Expressions FREE CHAPTER 2. Python Data Types and Structures 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Trees

A tree is a hierarchical form of data structure. In the case of other data structures such as lists, queues, and stacks that we have discussed till now, the items are stored in a sequential way. However, in the case of a tree data structure, 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 important applications. Trees are used for a number of things, such as parsing expressions, searches, storing data, manipulating data, sorting, priority queues, and so on. Certain document types, such as XML and HTML, can also be represented in a tree form. We shall look at some of the uses of trees in this chapter.

In this chapter, we will cover the following topics:

  • Terms and definitions...
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