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by phonebucket
1877 days ago
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The vast majority of the time that I've seen slow Python code, it's because people are not leveraging the libraries in the right way, e.g. by using groupby-apply in Pandas or not vectorising while using NumPy. I can't speak as to the specific use cases that you've encountered, but performance wise, I have found Python to be a fine choice for several ML services. |
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