[hidenotslide]

I hardly use pandas at this point besides read_csv, which is very good once you know the syntax for parsing strings/dates, skipping rows, dropping columns, etc.

After that I usually just keep the numpy array since all I need is floats. I guess the index groupby stuff is cool, but I never really needed it. Postgres is fine but if you're just doing numerics it doesn't help much.

[pleasecalllater]

It helps with having smaller RAM requirement. And I have the group by, and materilized indices, which helps a lot to preserve huge modified datasets.