William Ayd

I don't think we want to add draft PDEPs to the website but @datapythonista would know best

Cool thanks again for the thorough feedback. Responding to each question... > 1. Trim out as much as you can. e.g. I think the Bridging section is more or less...

Did I miss an official vote on rejecting this? I am not sure yet that I would want to reject, and am still leaning towards keeping in spite of some...

I realize this is for PDEP 14 which we want as a fast mover, but PDEP 13 proposed the following structure for a data type: ```python class BaseType: @property def...

> Also, for `StringDtype`, is the first argument required? Could you just do `StringDtype(na_value=pd.NA)`, and then it will use `pyarrow` if installed, otherwise python? I think this is going to...

Yet another possible solution to the 3.0 string problems that @simonjayhawkins @jorisvandenbossche @phofl @MarcoGorelli @lithomas1 have been actively discussing. I think the main point of this discussion is that there...

I did not open a PR with everything else going on but you can see an initial diff of this here: https://github.com/pandas-dev/pandas/compare/pandas-dev:pandas:d765547...WillAyd:pandas:nanopd-integration?expand=1 If you checkout that branch some cherry-picked methods...

...and just now fixed things so that a Series can be built from nanopandas arrays. The bool / integer are inefficient because they go nanopandas -> python -> NumPy but...

Cool thanks for clarifying. Just to be clear on my expectations, if we were interested in this I would propose that we just spend however much time we feel we...

> AFAIU the main benefit of using nanoarrow would be to avoid falling back to an object-dtype based implementation (and so also give some performance and memory improvements in case...