tequinhu

@tequinhu@lemmy.world

• ⁨Comment⁩ on ⁨[deleted]⁩ ⁨⁨3⁩ ⁨days⁩ ago⁩:

  Sex math the worst math Sex meth on the other hand…

• ⁨Comment⁩ on ⁨Anon crunches some numbers⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  I don’t know if you’re being sarcastic or not, but I believe that either:

  1. Yes, they are equivalent accomplishments
  2. The environments are so drastically different that even comparing doesn’t make any sense

  I believe we shouldn’t underplay the “over the shoulder of giants” effect, if you are able to engineer a rocket without worrying about starvation/diseases/etc it is because your ancestors have figured all of that out (and it is absolutely not simple to figure things out without someone holding your hand and teaching you)

• ⁨Comment⁩ on ⁨Laxative Effect⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  Think of it this way: Nobody wants to use the gas station bathroom, this means that the worst cases of explosive diarrhea are necessary for usage, rendering it even dirtier

• ⁨Comment⁩ on ⁨Damn Fr*nch nationalists⁩ ⁨⁨3⁩ ⁨weeks⁩ ago⁩:

  The fun is that it applies both ways

• ⁨Comment⁩ on ⁨Quokkas!⁩ ⁨⁨3⁩ ⁨weeks⁩ ago⁩:

  Arranged marriages were very common throughout human history (and I believe it likely must still be in some places)

• ⁨Comment⁩ on ⁨Spiders Georg⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  The mean, however is matgematicaly bigger than 0

• ⁨Comment⁩ on ⁨CONCEPTUALIZATION [Trivial: Success] — He’s actually right about this one.⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  We should see more Disco Elysium memes

• ⁨Comment⁩ on ⁨JUNGLE⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  !jungle@!jungle@lemmy.world

• ⁨Comment⁩ on ⁨But I wanna⁩ ⁨⁨9⁩ ⁨months⁩ ago⁩:

  I feel attacked

• ⁨Comment⁩ on ⁨Pandas⁩ ⁨⁨1⁩ ⁨year⁩ 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 ⁨⁨1⁩ ⁨year⁩ 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