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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

Data visualization

Numerical analysis does not sometimes lend itself to easy understanding. Indeed, a single image is worth 1,000 words and in this section, an image would be worth 1,000 tables comprised of numbers only. Images present a quick way to analyze data. Differences in size and lengths are quick markers in an image upon which conclusions can be drawn. In this section, we will take a tour of the different ways to represent data. Besides the graphs listed here, there is more that can be achieved when chatting data.

Bar chart

To chart the values 25, 5, 150, and 100 into a bar graph, we will store the values in an array and pass it to the bar function. The bars in the graph represent the magnitude along the y-axis:

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