Data analysis in crypto, Data analysis in betting
It's a powerful but technical library requiring Python knowledge for data analysis tasks.
Large-scale data processing requiring distributed computing
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There are a lot of parts on pandas that made me stop using it long ago but first class duplicates handling is not among them. Dataframe select filtering e.g. df = df[df.duplicated(keep='last')] is simple, expressive, obvious, and doesn't result in bleeding fingers.
Hacker News • HackerNews • Use case: Dataframe manipulation, specifically dropping and counting duplicates
I've been using Pandas professionally almost daily since 2015... It's never been random. Under-documented and hard to reason about group_keys= and related options, yes. But not random.
Hacker News • HackerNews • Use case: Data manipulation and analysis with DataFrames
Most recently doing: Lots of data analysis in crypto and betting. Python and Pandas mostly.
Hacker News • HackerNews • Use case: Data analysis in crypto and betting
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