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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

Visualizing two-dimensional geometric shapes

The focus of this chapter is on two-dimensional geometry, so our first task is to learn how to visualize two-dimensional geometric figures. Some of the techniques and tools mentioned here might apply to three-dimensional geometric figures, but generally, this will require more specialized packages and tools. The first method for plotting a region on the plane might be to pick a selection of points around the boundary and plot these with the usual tools. However, this is generally going to be inefficient. Instead, we’re going to implement Matplotlib patches that make use of efficient representations of these figures – in this recipe, the center and radius of a circle (disk) – that Matplotlib can fill efficiently on a plot.

A geometric figure, at least in the context of this book, is any point, line, curve, or closed region (including the boundary) whose boundary is a collection of lines and curves. Simple examples...

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