tequinhu

joined 11 months ago
[–] [email protected] 3 points 3 weeks ago* (last edited 3 weeks ago)

I didn't know about lazy loading, that's cool!

Then I guess that the meme doesn't apply anymore. Though I will state that (from my anedoctal experience) people that can use Panda's most advanced features* are also comfortable with other data processing frameworks (usually more suitable to large datasets**)

*Anything beyond the standard groupby - apply can be considered advanced, from the placrs I've been

**I feel the urge to note that 60Mb isn' lt a large dataset by any means, but I believe that's beyond the point

[–] [email protected] 10 points 3 weeks ago (2 children)

It really depends on the machine that is running the code. Pandas will always have the entire thing loaded in memory, and while 600Mb is not a concern for our modern laptops running a single analysis at a time, it can get really messy if the person is not thinking about hardware limitations

[–] [email protected] 1 points 1 month ago (1 children)

Woah, I see a lot of new posts at once (and I love it!)

Any recommendations on listening order (any tracks/sets for a specific mood maybe)?

[–] [email protected] 2 points 1 month ago (1 children)

This story describes well why I love DF, the random stuff is insanely good

Too bad I abandon any fortress where the minimal incident happens :(

[–] [email protected] 2 points 1 month ago

I don't like the announcement on a meme community But this does looks like one of the few nice LLM applications

[–] [email protected] 6 points 3 months ago

Urist's secrer