Nicholas Butterly

Are there any recommended workarounds while this issue is still open, aside from reverting to Pydantic V1? Perhaps limiting which Pydantic V2 features are used or how they're used in...

> I bypassed this restriction using custom formatter rules Thanks @iurisilvio, that makes a lot of sense. Could you please elaborate on this trick you mention about custom formatter rules?...

> Hi @butterlyn , thanks for reporting! > > I suspect that this is a problem of the error message being unhelpful here. IIRC, the `calamine` engine requires extra dependencies,...

> Thanks for checking. Can this error be reproduced with https://github.com/kedro-org/kedro-starters/blob/main/spaceflights-pandas/%7B%7B%20cookiecutter.repo_name%20%7D%7D/data/01_raw/shuttles.xlsx ? Hi @astrojuanlu, just downloaded the file and checked, yes getting the same error message.

@astrojuanlu Love the idea! That'd be perfect

Hi @baggiponte I can see there hasn't been a release in 6 months, and I'm beginning to quite heavily use this library for my workflow. Can you please outline the...

Hi 👋 customer here Just wanted to say that, as mentioned by @emirkmo , I'm having to manually cast the return type every time I use this function since the...

Any status update?

Would just like to say I'm also interested in this enhancement For context, I frequently write utility functions that have a `pl.col("some_column")` as an argument and return a `pl.Expr`, which...

For context, here's an example use case I had in mind, if hypothetically the dtype was exposed using `polars.Expr.meta.dtype` under the `meta` namespace as suggested by @ritchie46 : ``` python...