*searches for pandas.DataFrame.rolling*pic.twitter.com/r4A9ktWVrx
just another fantastic night spent doing 1 google search for pandas syntax per 1 line of code written
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import pandas as pd df = http://pd.read _json("data.json") http://df.to _csv("data.csv")
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Some coding nights call for... import wine wine.drink()
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from wine import * wine.__all__.drink() All. Of. It.
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Only 1?
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Pretty good ratio, you are clearly a pandas expert
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and 71 lines later find a way to do it in 3 smh
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Oooomg SO. TRUE. But hey that's learning so
I guess I can't complain.
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This has got to be the best measure of API design quality. So far my experience with Nushell is “8 source files/issues on github browsed per pipeline section” which sounds bad and it is
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We'd love to make it easier to contribute. Do you think it's coming from how the logic is distributed across files?
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