Making Python faster by compiling the code | Travis Oliphant and Lex Fridman

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Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda.

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Комментарии
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This dude is insanely smart its kinda crazy all the great python projects he has been apart of.

Johnwilliams-thhq
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As a heavy numba user: Huge thanks for working on that and my congratulations for that huge success with such a small team! Numba is a game changer in writing fast python code!

hansdietrich
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Numba has helped me enormously. It’s put gpu acceleration in the hands of hobbyists. Thanks you very much.

phillipsmith
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If I said I understood 1% of that video. That would be generous to me. Still interesting.

jb-rxqd
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I know you can write python plugins with C code to make it faster, is this something different?

ssyaasir
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Python packages have really stupid names.

kolukolev
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I srsly hate Numba, PyPy works just fine for me tbh. Maybe one day Numba miggt actually speed up my code lol

Agrover
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I don't want any man I have a men that I love.

adelinaquijano
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Why use python? There are C++ interpreters, which would permit you to execute it interactively. Then when you are ready, you compile whatever you were writing. C++ is a "real" language, you can write crazy things in C++ using objects, you can get extremely abstract and efficient.
Because C++ is supposed to be "difficult"? Is it that more difficult than correspondingly written python?

And what is the difference between what is described here and say Julia?

zzip