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
tequinhu
joined 1 year ago
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)?
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 :(
I don't like the announcement on a meme community But this does looks like one of the few nice LLM applications
Urist's secrer
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