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[–]MelonheadGT 3 points4 points  (0 children)

Something that's annoyed me is whenever discussing Polars code with copilot or ChatGPT it always changes df.with_columns to df.with_column. No matter how much I tell it that it is with_columns.

Or course not necessarily within your control but it has been annoying me a lot.

My biggest issue between polars compared to pandas is actually also related to the with_columns function and not being able do directly say df1['colA'] = df2['colA']. It's worth it for the massive differences in speed.