Exploring the Python math Module (Summary)

In this course, you learned about the Python math module. The module provides useful functions for performing mathematical calculations that have many practical applications.

In this course, you’ve learned:

What the Python math module is
How to use math functions with practical examples
What the constants of the math module, including pi, tau, and Euler’s number are
What the differences between built-in functions and math functions are
What the differences between math, cmath, and NumPy are

Understanding how to use the math functions is the first step. Now it’s time to start applying what you learned to real-life situations and math problems.

Download

Sample Code (.zip)

4.0 KB

Download

Course Slides (.pdf)

2.8 MB

Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.

00:00 Let’s summarize what you learned in the course. You learned what the Python math module is and that it comes installed with a basic Python installation. We went over what are the constants defined in the math module.

00:13 You learned how to use some of the functions in the math module, how to use some of the math module functions in practical examples, and what the differences are between the math module, the cmath module, and NumPy.

00:27 There are several Python modules that deal with mathematical computations, but don’t overlook the math module. It’s part of the standard library, so it’s always there for you whenever you’re working on applications that require mathematical computations, and you’ll benefit from all of the optimizations that have been done in these functions to make sure that your applications are running smoothly and efficiently. All right!

00:51 Thanks for following along, and I’ll see you next time.

Become a Member to join the conversation.