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Python Data Structures and Algorithms

You're reading from   Python Data Structures and Algorithms Improve application performance with graphs, stacks, and queues

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786467355
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
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Table of Contents (14) 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. Design Techniques and Strategies 13. Implementations, Applications, and Tools

Binary trees


A binary tree is one in which each node has a maximum of two children. Binary trees are very common and we shall use them to build up a BST implementation in Python.

The following figure is an example of a binary tree with 5 being the root node:

Each child is identified as being the right or left child of its parent. Since the parent node is also a node by itself, each node will hold a reference to a right and left node even if the nodes do not exist.

A regular binary tree has no rules as to how elements are arranged in the tree. It only satisfies the condition that each node should have a maximum of two children.

Binary search trees

A binary search tree (BST) is a special kind of a binary tree. That is, it is a tree that is structurally a binary tree. Functionally, it is a tree that stores its nodes in such a way to be able to search through the tree efficiently.

There is a structure to a BST. For a given node with a value, all the nodes in the left sub-tree are less than or equal...

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