# 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.

**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.

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