I believe using the NATO phonetic alphabet is best practice to denote importance of variables, e.g. df_alpha, df_beta, df_cuck, etc
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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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also df_1 and df_final and df_fixed and df_cleaned ...
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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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