python-socialsci
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pandas indexing
iloc indexing by rows gets a little in the weeds, in general, indexing by column name is most used and filtering rows by criteria is more common, the amount of time spend on row indexing is a bit much
also is row filtering by boolean mask or query a better way of introducing row filtering? or both?