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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 2. Python Data Types and Structures FREE CHAPTER 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

Summary

Graphs and heaps have been treated in this chapter. We looked at ways to represent a graph in Python using lists and dictionaries. In order to traverse the graph, we looked at breadth-first searches and depth-first searches.

We then switched our attention to heaps and priority queues to understand their implementation. The chapter ended with using the concept of a heap to find the ith-smallest element in a list.

The subject of graphs is very complicated and just one chapter will not do justice to it. The journey with nodes will end with this chapter. The next chapter will usher us into the arena of searching and the various means by which we can efficiently search for items in lists.

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