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[-] Kausta@lemm.ee 66 points 3 months ago

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

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

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

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