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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

Technical implementation

Let's dig into the implementation of some of the theoretical programming techniques that we discussed previously in this chapter. We will start with dynamic programming.

Dynamic programming

As we have already described, in this approach, we divide a problem into smaller subproblems. In finding the solutions to the subprograms, care is taken not to recompute any of the previously encountered subproblems.

This sounds a bit like recursion, but things are a little broader here. A problem may lend itself to being solved by using dynamic programming but will not necessarily take the form of making recursive calls.

A property of a problem that will make it an ideal candidate for being solved with dynamic...

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