Pandas is however limited to what can fit in memory, and can hit that limit pretty quick, unfortunately. If your CSVs are pretty big, or your machine is limited

Pandas is however limited to what can fit in memory, and can hit that limit pretty quick, unfortunately. If your CSVs are pretty big, or your machine is limited in memory, you could consider dask dataframes. It is supposed to have a similar api to Pandas, but it can keep most data on disk if needed, I believe. Edit: just saw your other post. You shouldn't have any problems using plain pandas with a 750 mb dataset on any sort of modern computers with a few Gb's of memory.