[tvst]

No mention of Pandas?

http://pandas.pydata.org/

[goronbjorn]

They probably left out pandas because it depends on numpy and also this point:

> For many people, installing numpy may be difficult or impossible.

that's as true, and arguably more, for pandas.

[maaku]

Although the solution, imho, is to make numpy easier to install across many platforms (ideally `pip install numpy pandas` should just work).

[dagw]

There are two types of potential limitations to installing software, technical and policy. Just solving the technical won't necessarily make it easier to install numpy/pandas on a users computer from a policy perspective. Being able to rely on basic statistics functions being available in a default python install would be nice.

[yati]

I think Pandas is a great candidate for inclusion in the stdlib if this ever happens - and hopefully, numpy/parts of scipy will also be thrown in :)

[lifeisstillgood]

I think the idea is to include a small independent stats package not a full featured still developing third party. Any number of people need std dev easily and reliably available. If you need numpy on top of that, you know you do and can afford the effort.

For 99% of my work numpy and the associated compilation overhead is unneeded - fits my brain, fits my needs

[westurner]

So let's amortize the cost of compiling and/or installing fast binaries by only relying on plain Python.

It would be great if there was a natural progression (and/or compat shims) for porting from this new stdlib library to NumPy[Py] (and/or from LibreOffice). (e.g. "Is it called 'cummean'")?

[lifeisstillgood]

I guess that's the point of the stats-battery - pure python stats with no / minimal cost to migrate to numpy e.g.

  From stats import mean

  ...

  from numpy import mean