No, though it has been a while, and your question may prompt me to take a look around the landscape. Not that I have had a problem with pandasql, it does work n

No, though it has been a while, and your question may prompt me to take a look around the landscape. Not that I have had a problem with pandasql, it does work nicely. This is one of those technologies that I was hoping would make its way into the framework, kind of how connection pooling for databases was once an external module but is now often built into the various web frameworks. DataFrames with common columns are such a natural match to relational tables that it seems that a way to call SQL would be (ok, in my opinion, should be) part of pandas (I think that this is the case for R data frames). I also just really enjoy writing SQL. To some extent, this is a personal preference - some people just mentally line up with certain ways of thinking. There are things that are clearly better to do in python, things that are clearly better to do in SQL, and then a grey area. I personally lean much farther to the SQL side of that grey area, but there's certainly nothing incorrect about going the other direction.