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Applying Math with Python

You're reading from  Applying Math with Python

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Pages 358 pages
Edition 1st Edition
Languages
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley
Toc

Table of Contents (12) Chapters close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib 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

Basic mathematical functions

Basic mathematical functions appear in many applications. For example, logarithms can be used to scale data that grows exponentially to give linear data. The exponential function and trigonometric functions are common fixtures when working with geometric information, the gamma function appears in combinatorics, and the Gaussian error function is important in statistics.

The math module in the Python Standard Library provides all of the standard mathematical functions, along with common constants and some utility functions, and it can be imported using the following command:

import math

Once it's imported, we can use any of the mathematical functions that are contained in this module. For instance, to find the square root of a non-negative number, we would use the sqrt function from math:

import math
math.sqrt(4) # 2.0

Attempting to use the sqrt function with a negative argument will raise a ValueError....

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