How do data scientists feel about Nim? It feels very pythony, but way faster - could be a really cool language for them, similar to what Julia is trying to be. Curious if anyone in a DS role has tried it out. I'm certainly tempted to try it out, I'm sure I'm losing lots of performance in parts of my analytics pipeline due to Python being garbage slow.
I just love it. Super productive to work with and in my case faster than the C++ framework I'm replacing.
The ecosystem of course is pretty small. But for me wrapping C code, porting something or reimplementing some libraries can be a lot of fun, too. In my experience every hole I've found was easily plugged so far.
[1] https://github.com/Vindaar/TimepixAnalysis (recently due to ..reasons.. all development happened on the open PR)