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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

Design Techniques and Strategies

In this chapter, we will take a step back and look into the broader topics in computer algorithm design. As your experience with programming grows, certain patterns begin to become apparent to you. And just like with any other skilled trade, you cannot do without some techniques and principles to achieve the means. In the world of algorithms, there are a plethora of these techniques and design principles. A working knowledge and mastery of these techniques is required to tackle harder problems in the field.

We will look at the ways in which algorithms are generally classified. Other design techniques will be treated alongside implementation of some of the algorithms.

The aim of this chapter is not to make you a pro at algorithm design and strategy but to unveil the large expanse of algorithms in a few pages.

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