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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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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

Further reading

The Matplotlib package is extensive and we can scarcely do it justice in such a short space. The documentation contains far more detail than is provided here. Moreover, there is a large gallery (https://matplotlib.org/gallery/index.html#) of examples covering many more of the capabilities of the package than in this book.

There are other packages that build on top of Matplotlib that offer high-level plotting methods for specific applications. For example, the Seaborn libraries provide routines for visualizing data (https://seaborn.pydata.org/).

You have been reading a chapter from
Applying Math with Python
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781838989750
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