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Applying Math with Python

You're reading from   Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (12) Chapters Close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib FREE CHAPTER 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Technical requirements

For this chapter, we will mostly make use of the pandas library for data manipulation, which provides R like data structures, such as Series and DataFrame objects, for storing, organizing, and manipulating data. We will also use the Bokeh data visualization library in the final recipe of this chapter. These libraries can be installed using your favorite package manager, such as pip:

          python3.8 -m pip install pandas bokeh
        

We will also make use of the NumPy and SciPy packages.

The code for this chapter can be found in the Chapter 06 folder of the GitHub repository at https://github.com/PacktPublishing/Applying-Math-with-Python/tree/master/Chapter%2006.

Check out the following video to see the Code in Action: https://bit.ly/2OQs6NX.

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