Python is a simple language. Numpy is a simple language. Pandas is a simple language. Scikit is a simple language. Matplotlib is a simple...https://twitter.com/DRMacIver/status/826564584525922309 …
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it depends on what you're trying to do. It's a big problem in that it's a large part of the 2/3 and pypy/cpython splits
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True. Although I've already forgotten what the latter split is even about.

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pypy makes your code faster nearly for free, but only if said code runs correctly on it. Most does, but a lot doesn't.
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Ah right yeah hehe why I never use it.
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yeah right now it's only just starting to become viable for scientific stuff - numpy support has lagged a lot
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I need way more than numpy myself to get my work done. But then again I'm easily the least tied to python/single language modeller I know.
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yeah, didn't intend to suggest numpy was sufficient, just necessary
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I'm very lucky with hardware, but a faster numpy would be
for lots of more junior scientists.
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the more rules you have the more ways things can be subtly different / wrong in unexpected ways
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Like natural language. Somehow we cope. Yeah, though, can't wait for python to be easier for students off Linux/Mac actually.
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The confusions 2 vs 3 causes is needless.
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