It’s probably not worth incurring the pain of a compatibility-breaking Pandas upgrade. Switch to Polars instead for new projects and you won’t look back.
Where I certainly disagree is the "frame as a dict of time series" setting, and general time series analysis.
The feel is also different. Pandas is an interactive data analysis container, poorly suited for production use. Polars I feel is the other way round.
They get forked and stay open source? At least this is what happens to all the popular ones. You can't really un-open-source a project if users want to keep it open-source.
OT, but I can’t imagine data science being a job category for too long. It’s got to be one of the first to go in AI age especially since the market is so saturated with mediocre talents.
I have integrated Explorer https://github.com/elixir-explorer/explorer, which leverages it, into many Elixir apps, so happy to have this.
It's funny to look back at the tricks that were needed to get gpt3 and 3.5 to write SQL (e.g. "you are a data analyst looking at a SQL database with table [tables]"). It's almost effortless now.
Like you said, perhaps the demise of phind was inevitable, with large models displacing them kind of like how Spotify displaced music piracy.