Francesco Bruzzesi

I am going to close this as not planned for now. Library developers can use the following snippet to choose/prioritize which backend to use: ```py def select_backend(): from importlib import...

I am taking a look at this. Currently also pandas-like fails to add a column for none, yet without raising an error. Yet hardest part is mapping column names and...

> i do think the Polars default output looks a bit odd here, Agree 👌 I opened the PR, but pandas behavior is so inconsistent and hard to remap. Tests...

I meant the pandas behavior that converts int to float for `dummy_na=True`. Example: ```py import pandas as pd data = [1, 2, 1] pd.get_dummies(pd.Series([1,2,1]), dummy_na=True) ``` ```terminal 1.0 2.0 NaN...

Edited the snippet above to better explain what I mean for pandas

Alright, then let's discuss how we should behave 😂 As you can see in #1040 doctests are failing because we have `int`s in our example. We can either `convert_dtypes` or...

Thanks @MarcoGorelli , shall we wait for them to decide on the polars API? IIRC this was needed for formulaic, so you can set the pace for how soon we...

Only the following are left to be documented: - [ ] [`Int128`](https://narwhals-dev.github.io/narwhals/api-reference/dtypes/#narwhals.dtypes.Int128) - [ ] [`UInt128`](https://narwhals-dev.github.io/narwhals/api-reference/dtypes/#narwhals.dtypes.UInt128) - [ ] [`Field`](https://narwhals-dev.github.io/narwhals/api-reference/dtypes/#narwhals.dtypes.Field)

Hey @mgorny, thanks for the feedback! These are very useful to understand what to prioritize! I think #1843 was close to achieving it. I will spend more time into it...

I have another implementation (almost) ready which would allow to run polars, pyarrow and pandas independently of the other two dependencies. The branch is: [tests/run-with-no-deps](https://github.com/narwhals-dev/narwhals/compare/tests/run-with-no-deps). I have mixed feelings about...