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I'm not sure how you're going to fix this given the data science tools are in Python. Are you gonna implement a half-broken 20% of numpy/scipy for a one-off program and then try to port?

These libraries hide a lot of complexity and implementing even a few operators is a project.



i dont think they are complaining about the libraries, but rather the scratchpads and notebooks that people use for ideation and evaluation being moved directly into a production environment because the authors don't have the experience or time to build more structured, efficient and maintainable code.


Rust + Polars comes to mind.




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