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:

1. De-emphasize counting and ranking, merely mention it.

2. Provide a richer data set on which more sophisticated analyses can be performed. This would tie in well with the next point.

3. 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.

4. Keep the format where people have to work on a particular problem of choice, in groups, for a long period of time.

5. Re-distribute the class to be more evenly balanced between coders and analyzers.

6. 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!