tequinhu

joined 1 year ago
[–] tequinhu@lemmy.world 19 points 1 week ago

I feel attacked

[–] tequinhu@lemmy.world 13 points 1 week ago (9 children)

I would disagree on the basis that Linux upgrades don't require hardware upgrades (unless you have a very low end hardware that's hanging by a thread already)

For example, I don't remember seeing all this fuss about upgrading when people were moving from 8.1 to 10 (but it could just be me on my bubble)

[–] tequinhu@lemmy.world 1 points 2 months ago

Will do, many thanks! :)

[–] tequinhu@lemmy.world 1 points 2 months ago* (last edited 2 months ago) (2 children)

Very cool OG song! Any chance of a longer edit somewhere?

[–] tequinhu@lemmy.world 3 points 3 months ago* (last edited 3 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

[–] tequinhu@lemmy.world 10 points 3 months 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

[–] tequinhu@lemmy.world 1 points 4 months 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)?

[–] tequinhu@lemmy.world 2 points 4 months ago

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