I believe using the NATO phonetic alphabet is best practice to denote importance of variables, e.g. df_alpha, df_beta, df_cuck, etc
constantly falling into the trap of naming the first important looking pandas dataframe in a notebook "df" and then having to come up with successively dumber names like "actualdf", "finaldf", "asdf" for the dataframes i actually care about
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imagining an interview question where you keep giving the interviewee sequences of meaningless counts they have to keep track of and watch as they run through variable names from i, j, k, m, n, idx, jdx through to count, cnt, cunt
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the best "ahhhh fuck it, I'm not using this for long" dataframe name is "_df" imo
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slowly grows to __df and _____df
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"asdf" ... well played.
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Wait what? People don't name them df_dx, df_dy, df_dz like I do to mess with the backprop explanations?
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im in this tweet and i dont like it
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This is OK. Let the complexity emerge, but rename the earlier variables as soon as you can, and use a scheme that is easy to regex-match
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if you start with df, and then df2, rename df2 first, as then you can search and replace on df without matching df2.
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df_useless = df df = important dataframe u actually care about
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