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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

Implementations, Applications, and Tools

Learning about algorithms without any real-life application remains a purely academic pursuit. In this chapter, we will explore data structures and algorithms that are shaping our world.

One of the golden nuggets of this age is the abundance of data. E-mails, phone numbers, text, and image documents contain large amounts of data. In this data is found valuable information that makes the data become more important. But to extract this information from the raw data, we will have to use data structures, processes, and algorithms specialized for this task.

Machine learning employs a significant number of algorithms to analyze and predict the occurrence of certain variables. Analyzing data on a purely numerical basis still leaves much of the latent information buried in the raw data. Presenting data visually thus enables one to understand and...

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