Tutorial at Scipy 2022?

In the past, we’ve used workshop/tutorials as an opportunity to put a tested, installable distribution out. What this lacks in long-term impact (keeping them up-to-date is a mug’s game), it can make up for in getting a cohort up and running at go-time… relying on cloud solutions and even conference wifi is always a gamble. Perhaps this process itself would be interesting as a tutorial?

Recently, the next iteration of this came up in the context of white-labelling jupyterlab-desktop, which is probably the lowest-barrier approach for getting sufficently-advanced technology onto peoples’ actual machines.