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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
Languages
Concepts
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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

Working with polynomials and calculus

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

Here, represents a placeholder to be substituted (an indeterminate), and is a number. Since polynomials are simple, they provide an excellent means for a brief introduction to calculus.

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

There are no additional packages required for this recipe.

How to do it...

The following steps describe how to create a class representing a polynomial, and implement differentiation and integration methods for this class:

  1. Let’s start by defining a simple class to represent a polynomial:
    class Polynomial:
        """Basic polynomial class"""
        def __init__(self, coeffs):
        ...
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