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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

Ternary search tree

A ternary tree is a data structure where each node of the tree can contain up to 3 children. It is different compared to the binary search tree in the sense that a node in a binary tree can have a maximum of 2 children, whereas a node in the ternary tree can have a maximum of 3 children. The ternary tree data structure is also considered a special case of the trie data structure. In trie data structure, each node contains 26 pointers to its children when we use trie data structure to store strings in contrast to the ternary search tree data structure, where we have 3 pointers to its children.

The ternary search tree can be represented as follows:

  • Each node stores a character in it
  • It has the equal pointer that points to a node that stores a value equal to the current node
  • It has the left pointer that points to a node that stores a value smaller than the current...
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