Jeff Reback

xref https://github.com/pandas-dev/pandas/issues/9220 prob not going to fully support this is current pandas, its not a lot of work, but I c limited utility here, also not supported on all platforms...

https://github.com/pythonql/pythonql/wiki/PythonQL-Intro-and-Tutorial#13-pythonql-and-pandas looks interesting

http://quantstack.net/xtensor

c++ interface to CPython

6

https://github.com/llllllllll/libpy looks like interesting way to construct expressions

DESIGN: out-of-core / parallelism

2

parallel `.apply`, see [here](https://github.com/pydata/pandas/issues/13111) xref [dask](https://github.com/dask/dask) & [distributed](https://github.com/dask/distributed) This issue is a placeholder for discussion w.r.t. how much pandas 2.0 should be in charge of out-of-core / parallel operations. For...

lazy array attributes

4

IIRC this from the design docs, but wanted to make an issue to remember. We want to have a set of lazily computed array attributes. Sometimes these can be set...

examine approach & integrations for the IO subsystems. pay attention to copies, memory mapping, and parallelization. let this be a master issue, with specific discussions in separate issues as needed....

supported dtypes

11

Obvious / currently supported [see here](https://wesm.github.io/pandas2-design/internal-architecture.html#high-level-logical-type-proposal) xref #20 - integer - unsigned integer - float - complex - boolean - datetime (ns) - datetime w/tz (ns) - timedelta (ns) -...

nuff said at least where possible / documented

require numexpr / numba

2

pandas already supports lazy evaluation via numexpr. adding numba allows the possibility of generation of lazy expressions (and recent versions support ahead-of-time compilation). I would simply make these requirements; they...