Wessel Huising

Hi @josedaniel-escribano-clarity , Thank you for your interest. Did you seen [this](https://github.com/wesselhuising/pandantic#optional) in the README? That should work, only a different import is needed to specify the `Optional` type. Cheers,...

I wrote some working tests which you can find [here](https://github.com/wesselhuising/pandantic/blob/main/tests/test_optional_attr.py) around using the `pandantic.Optional` type in your schema. Do you have an example of the `pandantic.Optional` type not behaving as...

Hi @hottwaj, thank you for suggestion. I see you found some more info and closed issue. Nonetheless, thank you for thinking along as indeed performance is an important aspect.

It is? I will have a look, thank you for the suggestion again!

I actually tried this on a 3M numerical dataset and it seems that it decreases performance using the method you proposed. So I will be closing this issue. Again, thank...

It is true that this dataset only consists of float and ints. Do you have a proposal for another dummy dataset I can use for benchmarking. I have tried this...

Hi @hottwaj, Fully agree. A summary and a better error log printing would be a logical next step to implement. I am currently searching for some spare time but this...

Interesting take on the `logger` kwargs, I think we should combine both functionality as the `logger` kwarg part can be considered advanced and for some just the `log` would be...

I gave it a start but I stopped at the point as we need to chose on this particular topic. What would the default behavior be when selecting `log` as...

But for skipping, that would be the future `.filter()` method, right? So in that case I would just incorperate a boolean over the string option for the error handling for...