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> Scientific computing is stuck with 2.

False. NumPy, SciPy, scikit-learn, Pandas, and friends all work great on Python 3.



It's not a question whether it works. It's a question of whether it's being used. And it's not, really. Those code paths are less tested and less performant, so why would you choose them even if you start a new project without baggage?

Python 3 won't see any traction unless it offers a clear improvement over 2. Some people think that's async. I have my doubts.




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