Whatever you do, usually as long as the data frame fits in memory it should be pretty fast. Depending on functions you’re using applymap on splices of columns might be faster but code readability will suffer.

How big is your dataset? If it’s huge or your need are complex you’ll get way more performance by switching from Pandas to Polars dataframes rather than trying to optimize Pandas operations.

Beeper already fixed iMessage on Beeper Cloud and is working on restoring Beeper Mini. Might take some back and forth but it still wouldn’t be surprise if it makes their reimplementation more resilient to Apple tampering.

I’m on Sopuli and see it. It’s more noticeable if you post because those comments remain in your inbox forever lol. Not sure if it’s an Activity Pub kink or something to be fixed in Lemmy (or both).

TIL Ada Spark is a whole different thing from Apache Spark and I can’t even complain about Ada one because it predates Apache one by 15 years.

Long history would imply continuity, not “so long ago that nobody in the comment section is old enough to have lived through it”.