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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

In this last chapter, we looked at the theories that support the computer science field. Without the use of too much mathematical rigor, we saw some of the main categories into which algorithms are classified. Other design techniques in the field, such as the divide and conquer, dynamic programming, and greedy algorithms, were also discussed, along with sample implementations.

Lastly, one of the outstanding problems yet to be solved in the field of mathematics was tackled. We saw how the proof for P = NP? will definitely be a game-changer in a number of fields, if such a proof is ever discovered.

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