[sbinet]

> These are things that are great for product development and devops and not in fact all that valuable in scientific computing

I disagree. Again, this may very well be science-domain dependent, but in High Energy Physics (where, finally, Python is recognized as a mainstream language, BTW) many -- if not all -- of the pain points that slow down undergrads, PhDs, post-docs and researchers at large, are these Go features.

yes, the time from "idea" to "little script that shows a bunch of plots" on a subset of the overall data is definitely shorter in Python (exploratory analysis is really really great in Python). but, at least for LHC analyses, python doesn't cut it when it comes to Tb of data to swift through, distribution over the grid/cloud, ... you die by a thousand cuts. and that's when you are alone on one little script. LHC analyses can see well over 10-20 people assembling a bunch of modules and scripts. You really long for a more robust to (automated) refactoring language than python, pretty quickly.