Are you doing data science? Statistics? No?
Then for god’s sake don’t use pandas, you just look dumb af when you pull several MB of a package just to load csv. If you find yourself doing that, just stop programming and look for another job
Thanks for attention
Pandas is more efficient than Python at operating on large datasets. Can you suggest alternarives?
If you find yourself doing that, just stop programming and look for another job
I don’t think that is an appropriate response to someone misunderstanding a package. Just educate them in a kind and respectful manner and they’ll learn.
For those that don’t know, the standard library includes a csv package so you can just import csv.
Documented at https://docs.python.org/3/library/csv.html
I use DictReader all the time, along with a library to hande the type detection. This is the way to go, especially if you need to process line by line or filter columns and rows out first.
Regardless, I’ll avoid pandas wherever I can. It’s not something I want in production level code if I can help it.
Wait what, people are loading data from csv in their websites?
