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
-
I believe using the NATO phonetic alphabet is best practice to denote importance of variables, e.g. df_alpha, df_beta, df_cuck, etc
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
