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> Beyond that its utility diminishes until it starts to become a hindrance.

Tell that to any serious Numpy/Scipy/Pandas user.



Being the lead on a data science team I am one of those. They're great for exploratory research and prototyping, and for use in the very tiny fraction of code in a production system that deals with machine learning if I must. For everything else, from the data pipeline to delivering results, I'd prefer and recommend something else, like Haskell, C++, go or Rust.




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