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#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
Lex Fridman Podcast
The Quark Is the Root of All the Evil, Right?
In NumPy, you can write functions using all of the power of arrays. You could be faster just using Python, straight up Python. It's very possible that NP that square is much faster. There aren't enough of the which you would do in a and you could do like checks and fast paths. But one of the problems with scalar gets to a zero dimensional array and then it goes to the whole machinery as if it were a 10,000 dimensional array.
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