Their (polars) FOSS solution isn't at all neuteured, imo that's a little bit of an unfair criticism. Yeah, they are trying to make their distributed query engine for-profit, but as a user of the single-node solution, I haven't been pressured at all to use their cloud solution.
Sure, just wanted to give the perspective of a new person walking into this field. I'd agree, but I think there are a lot of data analysts that have never heard of polars.
It’s a bit of a hot take, but not wildly outlandish either.
Pandas supports so many use cases and is still more feature rich than polars. But you always have the polars.DataFrame.to_pandas() function in your back pocket so realistically you can always at least start with polars.
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This may be a hot take, but there is now no reason to ever use pandas for new data analysis codebases. Polars is better in every way that matters.
pandas has been around for years and never tried to sell me a service.
Their (polars) FOSS solution isn't at all neuteured, imo that's a little bit of an unfair criticism. Yeah, they are trying to make their distributed query engine for-profit, but as a user of the single-node solution, I haven't been pressured at all to use their cloud solution.
Sure, just wanted to give the perspective of a new person walking into this field. I'd agree, but I think there are a lot of data analysts that have never heard of polars.
Though, I guess they're not on this site :')
Only thing I can think of is HDF5 support. That is currently stoping me from completely switching to polars.
It’s a bit of a hot take, but not wildly outlandish either.
Pandas supports so many use cases and is still more feature rich than polars. But you always have the polars.DataFrame.to_pandas() function in your back pocket so realistically you can always at least start with polars.