A Survey of Scientific Python
Prerequisite: Python experience is not required, but it is STRONGLY recommended.
This tutorial will introduce you to some of Python’s most commonly used Scientific packages, including Numpy, Matplotlib, Scipy, ipython, sympy, and Pandas. These can be used in any discipline to do research. We will provide examples of each and discuss some of their advantages and pitfalls. This is not a hands on tutorial.
If you try to sign up for this tutorial and find that it is full, please send email to email@example.com and we will do our best to accommodate you.