I tried to do this for a few years. I really tried, I renewed, I did various analysis in it... But it's really hard to make it performant on data processing ta

I tried to do this for a few years. I really tried, I renewed, I did various analysis in it... But it's really hard to make it performant on data processing tasks, learning how to do things efficiently in the language. The curated data is... honestly a little basic and overrated imo. If you are doing general work, maybe their population info is ok, but you don't really know the source of the data entirely, when it was acquired, etc. If you are doing real research, it's not gonna cut it. I wanted to do analysis of ethereum, but their blockchain library was incredibly weak. It did not support reading data at given block ids (ie: historical analysis), and when I requested the feature the answer was basically "maybe in the next major revision." I'm not a fan of python, but I went there. I used typed python, which ultimately I think the best solution moving forward is probably typescript, since typed python has a lot of type holes in it :-/