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Applying Math with Python

You're reading from   Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. 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 of examples (https://matplotlib.org/gallery/index.html#) covering many more of the capabilities of the package than in this book.

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

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Applying Math with Python - Second Edition
Published in: Dec 2022
Publisher: Packt
ISBN-13: 9781804618370
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