Wes McKinney

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I'm actually in the process of revising this part of the book slightly so that both Jupyter/JupyterLab are installed so users have the option of using either. The book will...

https://pandas-dev.github.io/pandas2/internal-architecture.html#missing-data-consistency

Odd, I'll take a look! I'm due to spend some time working on the design docs soon anyhow

The fact that this is used a lot tells me there is some API deficiency: ``` In [3]: s = Series() ...: s['a'] = 2 In [4]: s Out[4]: a...

I'll put some thought into this when I have a chance, but: one possibility to consider is exposing a more primitive `pandas.Table` to the user, as a "DataFrame without the...

One thought would be to equip `Table` with the most essential relational algebra and manipulations (add/remove columns, etc.) but make everything deferred (the deferred table DSL I designed for Ibis...

@shoyer I agree that having a deferred API as a separate beast would be better, and making the basic table a pared down, indexless DataFrame (with all operations eagerly evaluated)....

As a matter of process, the way this should probably work is: - Segregate unit tests subject to breakage in upstream pandas-dev/pandas - Rebase pandas2 on upstream branch. - Write...

This is cool. I think we'll want to have a similar low level callable interface for functions that utilize pandas2's C++ API

Yeah, definitely. Having a native callable API for Arrow data in C++ (that writes output into preallocated memory, or uses one of the builder classes, e.g. for strings) would be...