People are interested in using Pandas in IPython. I think most people who came to the conference are already fundamentally well-grounded in doing data analysis. The lacking portion is the tools.
Feedback from the tutorial generally was positive, and I think they appreciated the time spent to wrestle with Pandas in the IPython HTML shell.
From the above, I think the following things can be changed:
- De-emphasize counting and ranking, merely mention it.
- Provide a richer data set on which more sophisticated analyses can be performed. This would tie in well with the next point.
- Provide a cheat sheet for Pandas functions. That would mean arithmetic operations (add, subtract, multiply, divide), basic data summarization (mean, mode), groupby operations (especially aggregation), and plotting.
- Keep the format where people have to work on a particular problem of choice, in groups, for a long period of time.
- Re-distribute the class to be more evenly balanced between coders and analyzers.
- Follow-up with additional resources if possible.
I really enjoyed this year’s tutorial sessions, and I’d like to give it a shot next year!