Most efficient way to parse a large .csv in python?

Question

I tried to look on other answers but I am still not sure the right way to do this. I have a number of really large .csv files (could be a gigabyte each), and I want to first

Answer 1

Your first 2 methods are NOT parsing each line into fields. The csv way is parsing out rows (NOT the same as lines!) of fields.

Do your really need to build a list in memory of all the lines?