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I'm not saying that no data science practitioners care about speed and safety, and its easy for me to come up with cases where they should/do care.

My point is that even fast.ai still views S4TF as somewhat niche, and that data science practitioners as a whole still don't care.



I am a practitioner, I care, but everyone on this thread seems to be distracted by the red herring of speed and efficiency.

None of these languages are going to be speedier in the GPU. But python has serious design problems that manifest itself when developing a large project.

You can only go so far with dynamic typing




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