Exploring the Python math Module
Cesar Aguilar
1:20:38
Description
In this course, you’ll learn all about Python’s math module. Mathematical calculations are an essential part of most Python development. Whether you’re working on a scientific project, a financial application, or any other type of programming endeavor, you just can’t escape the need for math.
For straightforward mathematical calculations in Python, you can use the built-in mathematical operators, such as addition (+), subtraction (-), division (/), and multiplication (*). But more advanced operations, such as exponential, logarithmic, trigonometric, or power functions, are not built in. Does that mean you need to implement all of these functions from scratch?
Fortunately, no. Python provides a module specifically designed for higher-level mathematical operations: the math module.
By the end of this course, you’ll learn:
A background in mathematics will be helpful here, but don’t worry if math isn’t your strong suit. This course will explain the basics of everything you need to know.
What You'll Learn?
- What the Python
math
module is - How to use
math
module functions to solve real-life problems - What the constants of the
math
module are, including pi, tau, and Euler’s number - What the differences between built-in functions and
math
functions are - What the differences between
math
,cmath
, and NumPy are
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Cesar Aguilar
Instructor's CoursesCesar is an avid Pythonista and records video courses for Real Python. He enjoys teaching programming to anyone who listens and seeing in others their programming “eureka” moment. His first love is mathematics and teaches it to anyone who listens, and then tells them that they should also learn how to code (in Python of course!). Annoyed with the licensing circus of commercial software, Cesar started using Python in 2013 for his research in differential equations and graph theory. When not coding in Python, Cesar enjoys web development in PHP and JavaScript.

Real Python
View courses Real Python- language english
- Training sessions 16
- duration 1:20:38
- Release Date 2023/01/05