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 am trying to improve Nim data science ecosystem with https://github.com/mratsim/Arraymancer.
I think today the best way to try Nim is for slow Python utilities vi nimpy: https://github.com/yglukhov/nimpy
You can also use Nim in Jupyter the following way: https://github.com/apahl/nim_magic
My next step would be to improve interop between Arraymancer tensors and Numpy ndarrays.