Python Workshop at DIBSI, 2017 (at UC Davis)
Links to all materials from the workshop.
The Jupyter notebook containing all of the code is here. You can view it on the web (without opening it on your own computer) here.
The example data parsing script that we wrote is here. You can view it here.
The Jupyter notebook that imports the functions from that script is here. You can also view it here. Note: this file must be in the same folder as process_dn_ds.py to work.
The collaboratively edited course notes are here.
Parts of this material were drawn from the Software Carpentry Python lessons: here and here. I also drew from this draft lesson on data visualization that I created for a different workshop.
My notes on Pandas and files are here, but they’re really not as good as the main HackMD pad.