Python is a general-purpose programming language that is easy to learn and widely used.  It is one of the primary programming languages for data science, and when combined with its modules such as NumPy, SciPy, Matplotlib, and Pandas, it can be a very powerful tool for numerical computing.

The second part of this hands-on series will introduce you to the modules that enable Python to function as a powerful numerical programming language:  NumPy, SciPy, and Pandas.  By the end, you will be familiar with the ecosystem of numerical tools contained in these modules and fundamental ways to use them.

Register in advance:  Please REGISTER using the Zoom Meeting Link before joining!

If you have any further questions regarding the workshop, please contact the instructor Ben Winjum.