[ritchie46]

> but quite a bit of pandas code will run as-is with polars

I highly doubt this. Aside from dataframe generation and series assignment, almost everything in the API surface is different.

Strictness is also not something you can transplant easily. It is checking data types at the IR query planning level before you run the query and being able to resolve schema's independent of the data. In pandas schemas do depend on data within operations and therefore it isn't uncommon that data types change if data gets missing values nor can it check if a correct type is passed to an operation without running the compute.

[3eb7988a1663]

Depends on how you use pandas. Pre-polars I would do a lot of single column/series manipulation which works the same way (though heavily discouraged by polars because you lose out on optimization opportunities). There are plenty of surface level keyword API changes (merge vs join, sort_values vs sort), but you can operate polars in a very panda-esque manner which do not seem all that alien to each other.

Strictness, I understand you cannot just slap it in, more just an idle thought.