Students were asked to prepare for Thursday's class by reading the Jupyter notes and installing Anaconda on the laptops they could bring to participate. They did a good job of being ready to participate. Students were also told they could investigate the Python notes which would be the basis of Thursday's discussion.

We investigated our first Jupyter Python notebook together after having an interactive discussion regarding Python as a language and a notebook organization as an approach. The notebook we discussed is available at:

FoodWebBarPlot.ipynb (compressed version here)

and the discussion followed the notes provided on the Python link. Students were asked to play around with the notebook to perform the analysis on other food webs. Jeremy suggested the food webs highlighted in the Steele paper would make appropriate examples.