tequinhu

@tequinhu@lemmy.world

• ⁨Comment⁩ on ⁨But I wanna⁩ ⁨⁨4⁩ ⁨days⁩ ago⁩:

  I feel attacked

• ⁨Comment⁩ on ⁨Pandas⁩ ⁨⁨2⁩ ⁨months⁩ 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

• ⁨Comment⁩ on ⁨Pandas⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  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