Scientific Python

Building on our earlier “Introduction to Python”, this course will cover slightly more advanced scientific computing in Python. We will talk about array calculation with NumPy, working with dataframes in Pandas, basic plotting, working with scientific datasets with xarray, and a few other topics.

Date:
Thursday, June 6, 2024

Time:
1:30pm–4:30pm (afternoon session)

Instructor:
Alex Razoumov (Simon Fraser University)

Prerequisites:
Basic Python knowledge.

Software:
We will provide access to one of our Linux systems. To make use of it, attendees will need a remote secure shell (SSH) client installed on their computer. On Windows we recommend the free Home Edition of MobaXterm. On Mac and Linux computers, SSH is usually pre-installed (try typing ssh in a terminal to make sure it is there).