[Pandas-dev] Pandas Sprint Recap

[Brock Mendel]

... and in conclusion, everyone at the sprint learned a valuable less about
the power of friendship.

The discussion so far seems to point towards making a push towards loose
coupling.  Regardless of release names or numbers, and regardless of
exactly what happens with core.internals, there will be a need for
something like the current `pandas.io`, `pandas.plotting`, `khash`,
`tslibs`, etc.  The more of this we can make independent of core.internals,
the more room we'll have to customize/experiment with options discussed
above.

On Wed, Jul 18, 2018 at 10:48 AM, Pietro Battiston <me at pietrobattiston.it>
wrote:

> Il giorno mer, 18/07/2018 alle 13.30 -0400, Wes McKinney ha scritto:
> > > These are certainly not mutually exclusive options -- there is room
> > > for packages that provide all of these data models (simple
> > > dataframes like R, indexed dataframes like pandas, N-D labeled
> > > arrays like xarray, and even N-D arrays without labels like NumPy).
> > > I do hope that one day all of them can share the same foundation --
> > > that would have major benefits for the ecosystem.
> >
> > On this subject -- one of the objectives of the next years is to
> > enable dplyr / tidyverse expressions to run atop Arrow-based data
> > frames (in addition to R's native data frames).
>
> You mean Arrow-based R data frames, right? Or are you thinking about a
> sort of cross-language dplyr?
>
> (My understanding is that in Python we can't go much closer to dplyr
> than with .pipe(), but consistent terminology helps users, and
> certainly dplyr developers have done great work on this)
>
> Pietro
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