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by greentxt
724 days ago
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One of the better comments in this thread, I would only qualify that different levels of ability mediate much of the "how hard is it to make an unmaintainable mess" dimension. Dplyr/tidy code can be pasta, as can pandas, and there is really a whole new level of that given llm generated nonesense edited/tweaked by novices masquerading as seniors. Apropos this idea of a vs code competitor, I wish they would spend more effort on existing products. I find quarto frustratingly buggy and meanwhile see no reason to move my workflow from vscode to this new thing. Ymmv |
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Oh definitely, but at least Python's stdlib is relatively consistent, which helps packages be a little more so.
My favourite example is t.test, which is not a t method for the test class, unlike summary.lm which is.
And there's like 4 different styles of function naming in base & stats alone.
Python has problems (for gods sake, why isn't len a method?) but it's a little more consistent.
I used to think that R was responsible for a lot more of the mess than I now do, having seen the same kind of DS code (and I am a DS) written in both Python and R.
And it would be sweet if R had a pytest equivalent, if I never have to write self.assertEqual again, it'll be too soon.