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The point I was making in the post is that for every small change in use case (moving window vs expanding vs window aggregates) you need a separate method. Why is that bad? Because unless you know all pandas methods by heart you'll have to search stack overflow and study the documentation while dplyr it's small intuitive tweaks to the code which in turn means less time spent writing the code and more work getting done. Hope that helps clarifying. |
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Originally written by jl5000:
"I'm not so sure it's objectively worse in Python. It's about the same number of lines, and the only difference seems to be a subjective judgement call about the ubiquitousness of functions. I'm not sure it's a strong enough example."
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