Use this button to launch the tutorial in Binder:
| Topic | Time | Duration |
|---|---|---|
| Introduction | 10:30 - 10:45 | 15 mins |
| Github for OSS goodness | 10:40 - 10:45 | 5 mins |
| Python: Variables, data types, and indexing | 10:45 - 11:05 | 20 mins |
| NumPy | 11:05 - 11:25 | 20 mins |
| Break | 11:25 - 11:30 | 5 mins |
| Pandas | 11:35 - 11:05 | 20 mins |
| netCDF, xarray, and cartopy | 12:05 - 12:20 | 20 mins |
| Introduction to machine learning | 12:20 - 12:25 | 15 mins |
| Branching out from here | 12:25 - 12:30 | 5 mins |
Steve Nesbitt
E-Mail: snesbitt@illinois.edu
Twitter: @70_dbz
Thanks: Max Grover and Randy Chase
This tutorial contains excerpts from the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub.
The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. If you find this content useful, please consider supporting the work by buying the book!