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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

Working with polynomials and calculus

Polynomials are among the simplest functions in mathematics and are defined as a sum:

x represents a placeholder to be substituted, and ai is a number. Since polynomials are simple, they provide an excellent means for a brief introduction to calculus. Calculus concerns the differentiation and integration of functions. Integration is, roughly speaking, anti-differentiation, in the sense that first integrating and then differentiating yields the original function.

In this recipe, we will define a simple class that represents a polynomial and write methods for this class to perform differentiation and integration.

Getting ready

Geometrically, the derivative, obtained by differentiating, of a function is its gradient, and the integral, obtained by integrating, of a function is the area that lies between the curve of the function and the x axis, accounting for whether the curve lies above...

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