• 41 Posts
  • 23 Comments
Joined 10 months ago
cake
Cake day: September 2nd, 2023

help-circle































  • 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.









  • There’s a Walmart Taylor Swift vinyl record and a French symphonic post punk with Mongolian throat singing vinyl record that’s sold via Bandcamp.

    I’m a member of a group niche genre collectors and there’s way less activity compared to a year ago. I also get the impression that labels overestimated continued interest after every pressing plants was booked months in advance. There’s plenty of stock on new releases which was unheard of just recently. New releases are getting less frequent now too.