In this next-to-last chapter, we consider a few topics that weren’t covered in earlier chapter. Python sets can be made from records in a recordset to establish existence or determine membership of a record based on dimensions. In the section “Datetime in Datasets,” we look at one way to fill in missing datetime entries in a recordset, allowing researchers to then further process their recordsets. Finally, we look at how we might use ipyparallel and a decorator function to somewhat easily render a function used to process records one-at-a-time “embarrassingly parallel” (yes, this is a term used in parallel programming). As always, the focus is on making the code as easy read and use as possible.