An option worth considering is Docker. I have had some success with students on Windows or macOS using
https://github.com/3-manifolds/sagedocker to develop Sage-dependent code for SnapPy. One advantage of Docker is that you can have everyone working from an initially uniform image, which helps with debugging technical glitches. I've even had students connect via their web browser to a JupyterLab instance on the container, giving them a perfectly serviceable development environment right off the bat. Of course, at that point one could also look into a Cocalc subscription, we've used that for Sage-based classes here. Best, Nathan -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-support/c97796fb-1bfb-46c7-ae1c-22441c043763n%40googlegroups.com.
