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

Science Memes

10897 readers
1487 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.

This is a science community. We use the Dawkins definition of meme.



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 3 months 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 3 months 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 3 months 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 3 months 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 3 months ago

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