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