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Again the issue you’re having is the skill level of the audience you keep bringing up not the tool.

I find it much more beneficial to lower the barrier for entry (oftentimes without any sacrifices) instead of spending time and money on upskilling everyone, just because I like engineering.

Right but nobody is saying polars or data frames is to replace SQL or is even for the masses. It’s a tool for skilled folks. I personally think the api makes sense but SQL is easier to pick up. Use whatever tools work best.

But coming into such a discussion dunking on a tool cuz it’s not for the masses makes no sense.

Read my posts again, I'm not complaining it's not for the masses, I know it isn't. I'm complaining that it's being forced upon people when there are simpler alternatives that help people focus on business problems rather than setting up virtual environments.

So I'm very much advocating for people to "[u]se whatever tools work best".

(That is - now I'm doing this. In the past I taught a course on pandas data analytics and spoke at a few PyData conferences and meetups, partly about dataframes and how useful they are. So I'm very much guilty of what all of the above.)

Who is doing the forcing? I’ve not found a place in my decade as a data engineer that such places forced dataframes on would be and capable SQL analysts.

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