Niels Bantilan

Thanks @cpcloud ! The pandera internals re-write is still happening (the last PR should be merged soon https://github.com/unionai-oss/pandera/pull/1109), after which I'm gonna start chipping away at a `pandera-ibis` package to...

@gforsyth this tracks the ibis integration! I'll circle back when I have capacity to get started on an integration in earnest

Hey @deepyaman now that #1451 is merged, would you mind outlining (just at a high level) what is left to implement? I guess we can go off of this: https://github.com/unionai-oss/pandera/pull/1451#issuecomment-2113325336

hey @deepyaman just wanted to check in: are you implementing the `IbisCheckBackend` class?

Cool, I'll take a look at stubbing out the `IbisCheckBackend` and spec out the rest of the core checks that need to be implemented, but so far it's looking great!

This is expected behavior @mxblsdl. > I feel like the documentation should make this more explicit I believe it already does, see https://pandera.readthedocs.io/en/stable/polars.html#how-it-works already linked by @kacper-sellforte. > or a...

Also see https://pandera.readthedocs.io/en/stable/polars.html#data-level-validation-with-lazyframes. You can set the environment variable `export PANDERA_VALIDATION_DEPTH=SCHEMA_AND_DATA` and pandera will do a `LazyFrame.collect` call under the hood and convert back into a `LazyFrame`.

Please see the docs on parameterized dtypes: https://pandera.readthedocs.io/en/stable/dataframe_models.html#parametrized-dtypes - Use `Annotated[Decimal, 28 ,2]` - or `Field(..., dtype_kwargs={"precision": 28, "scale": 2})`

Looks like https://github.com/unionai-oss/pandera/pull/1704 addresses this, but it still has CI test errors

@riziles let's open it back up! There's a WIP PR that addresses it https://github.com/unionai-oss/pandera/pull/1704 but there are still some unit test issues on it. @imseananriley not sure if you still...