I’ve collected a few tens of thousands of Jupyter notebooks upon which I’ve been doing analysis. I’ll be turning what I’ve learned into a short presentation for the upcoming JupyterCon.
Along with the presentation, I’ll be publishing the corpus of notebooks along with the code for running map-reduce jobs to do the analysis.
Ahead of that, I thought I’d write and ask for suggestions from this community. Are there things you’d like to learn, questions you’d like to answer, visualizations you’d like to see, or anything related to using Jupyter notebooks as a data source in and of themselves?
I’ve got enough tooling that I should be able to incorporate your suggestions into the presentation before the deadline.