Niels Bantilan

sounds good @jekwatt! I'd recommend creating a `tutorials` directory in the root `pandera` repo and creating a jupyter notebook in there.

great, thanks @ak1920 !

hi @blais, thanks for pointing out PETL, I wasn't aware of it! As you may or may not know, `pandera` is figuring out how to scalably and maintainably support other...

This should be done after #369

thanks for filing this bug @michaelwalshe! So we want the checks to serialize into something like this: ``` columns: a: dtype: int64 nullable: false checks: isin: allowed_values: [2, 3, 4]...

> Let me first say how much I love pandera and the appreciate the effort to maintain and write such a great package! thanks @jdb78! I think this would be...

Awesome, thanks @dustindall! > Are you thinking about having a field object that holds both the title and description like pydantic or were you open to adding the title and...

> but I feel like the distinction between DataframeSchema.name (technical name) and DataframeSchema.title (reporting name) is very thin agreed. Is there a good reason (besides consistency) to have a `title`...

Hey @tfwillems I saw you submitted #440, let me know if you're willing to make a PR for this :) It should be pretty straight-forward to add these properties to...

Thanks @bfmcneill this is a good idea! This highlights the difference between parsing and validation: parsing modifies values to fulfill certain assumptions while validations just check that those assumptions are...