bench-warmers VS python-bigquery-pandas

i have more ideas than I know what to do with, help yourself: https://github.com/dmarx/bench-warmers

you're welcome to help yourself to my ideas (no guarantees that they're any good or even comprehensible, I do a lot of my brainstorming while high). here's my brainstorming space, scroll down for a categorized ToC: https://github.com/dmarx/bench-warmers

I've decided to just lean into it and am literally just giving my ideas away. https://github.com/dmarx/bench-warmers

it might sound like a lot, but it's actually really lightweight and easy to use. Check it out: https://github.com/dmarx/bench-warmers

you've sort of become victims of your own success: as another pandas dev mentioned, you want to preserve backwards compatibility and this significantly complicates any restructuring. I'm sympathetic and am not sure what the best solution here would be. I had this idea last night but i'm not sure I like this approach either.

To be clear, i'm talking about e.g. vision impaired, hearing impaired, etc. Here's an example of a project idea in this space (possibly a bit more ambitious than what you're looking for but if you think you could tackle this I encourage you to take a stab at it): https://github.com/dmarx/bench-warmers/blob/main/automated-video-description.md

I'm not sure if there is already support for all Arrow complex types in pandas 2.0, but we have some support of lists for sure, and I think structs too. For the bigquery part, I think you can ask this to the developers of this repo: https://github.com/googleapis/python-bigquery-pandas We basically wrap that library with the read_gbq() function. but there is not much big query specific in pandas other than that, so not much idea.