this post was submitted on 02 Aug 2024
349 points (97.5% liked)

Science Memes

10340 readers
1058 users here now

Welcome to c/science_memes @ Mander.xyz!

A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.



Rules

  1. Don't throw mud. Behave like an intellectual and remember the human.
  2. Keep it rooted (on topic).
  3. No spam.
  4. Infographics welcome, get schooled.


Research Committee

Other Mander Communities

Science and Research

Biology and Life Sciences

Physical Sciences

Humanities and Social Sciences

Practical and Applied Sciences

Memes

Miscellaneous

founded 2 years ago
MODERATORS
 
you are viewing a single comment's thread
view the rest of the comments
[–] Kausta@lemm.ee 68 points 1 month ago (3 children)

You havent seen anything until you need to put a 4.2gb gzipped csv into a pandas dataframe, which works without any issues I should note.

[–] thisfro@slrpnk.net 24 points 1 month ago

I raise you thousands of gzipped files (total > 20GB) combined into one dataframe. Frankly, my work laptop did not like it all that much. But most basic operations still worked fine tho

[–] QuizzaciousOtter@lemm.ee 13 points 1 month ago (1 children)

I really don't think that's a lot either. Nowadays we routinely process terabytes of data.

[–] Kausta@lemm.ee 9 points 1 month ago

Yeah, it was just a simple example. Although using just pandas (without something like dask) for loading terabytes of data at once into a single dataframe may not be the best idea, even with enough memory.

[–] whotookkarl@lemmy.world 5 points 1 month ago

It's good to see the occult is still alive and well