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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
Geometric Problems

This chapter describes solutions to several problems concerning two-dimensional geometry. Geometry is a branch of mathematics concerned with the characteristics of points, lines, and other figures (shapes), the interaction between such figures, and the transformation of such figures. In this chapter, we'll focus on the characteristics of two-dimensional figures and the interactions between these objects.

There are several problems we must overcome when working with geometric objects in Python. The biggest hurdle is the problem of representation. Most geometric objects occupy a region in the two-dimensional plane, and as such, it is impossible to store every point that lies within the region. Instead, we have to find a more compact way to represent the region that can be stored as a relatively small number of points. For example, we might store a selection of points along the boundary of an object...

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