"Reactive, reproducible, collaborative: computational notebooks evolve"
Interesting feature this month in Nature on next steps for computational notebooks.
Reactivity, where the notebook automatically “refreshes” upon changes, might be a good idea for some of the problems users have when trying to track the state of the notebook kernel. But, as the article mentions, it doesn’t scale well to large calculations or data. But in that scenario, maybe a notebook isn’t the right tool for the job.
I have lots of thoughts on notebooks. Sounds like more posts coming!
Jim Bagrow
Associate Professor of Mathematics & Statistics
My research interests include complex networks, computational social science, and data science.