ANN: Numexpr 2.0.1 released

[Francesc Alted]

==========================
Announcing Numexpr 2.0.1
==========================

Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.

It wears multi-threaded capabilities, as well as support for Intel's
VML library, which allows for squeezing the last drop of performance
out of your multi-core processors.

What's new
==========

In this release, better docstrings for `evaluate` and reduction
methods (`sum`, `prod`) is in place. Also, compatibility with Python
2.5 has been restored (2.4 is definitely not supported anymore).

In case you want to know more in detail what has changed in this
version, see:

http://code.google.com/p/numexpr/wiki/ReleaseNotes

or have a look at RELEASE_NOTES.txt in the tarball.

Where I can find Numexpr?
=========================

The project is hosted at Google code in:

http://code.google.com/p/numexpr/

You can get the packages from PyPI as well:

http://pypi.python.org/pypi/numexpr

Share your experience
=====================

Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.

Enjoy!

--
Francesc Alted

[Gaëtan de Menten]

It seems like you are active on the project once again, great news.

On Sun, Jan 8, 2012 at 11:49, Francesc Alted <fal...@gmail.com> wrote:

> What's new
> ==========
>
> In this release, better docstrings for `evaluate` and reduction
> methods (`sum`, `prod`) is in place.

I always wondered why they weren't documented... IIRC, there are a few
more undocumented functions: ones_like, copy and fmod.

It would be nice if you could build windows packages for this release.
I can build 32-bit packages (with MingW) if that helps, but can't do
64-bit ones without much hassle (if at all).

Thanks,
--
Gaëtan de Menten

[Francesc Alted]

2012/1/9 Gaëtan de Menten <gdem...@gmail.com>:

> It seems like you are active on the project once again, great news.

Well, it is not that I have all the time in the world, but anyway :)

> On Sun, Jan 8, 2012 at 11:49, Francesc Alted <fal...@gmail.com> wrote:
>
>> What's new
>> ==========
>>
>> In this release, better docstrings for `evaluate` and reduction
>> methods (`sum`, `prod`) is in place.
>
> I always wondered why they weren't documented... IIRC, there are a few
> more undocumented functions: ones_like, copy and fmod.

You are right. Please feel free to document these properly.

> It would be nice if you could build windows packages for this release.
> I can build 32-bit packages (with MingW) if that helps, but can't do
> 64-bit ones without much hassle (if at all).

Hmm, I think people already knows this:

http://www.lfd.uci.edu/~gohlke/pythonlibs

which has the advantage that Christof is linking against MKL.

--
Francesc Alted

[Gaëtan de Menten]

On Tue, Jan 10, 2012 at 12:02, Francesc Alted <fal...@gmail.com> wrote:
> 2012/1/9 Gaëtan de Menten <gdem...@gmail.com>:
>

>> It would be nice if you could build windows packages for this release.
>> I can build 32-bit packages (with MingW) if that helps, but can't do
>> 64-bit ones without much hassle (if at all).
>
> Hmm, I think people already knows this:
>
> http://www.lfd.uci.edu/~gohlke/pythonlibs

I did know about those, but I don't think we can assume everybody does.

> which has the advantage that Christof is linking against MKL.

which is precisely the reason I need other packages because I need to
be able to distribute those packages and I don't have the rights to
distribute anything linked to the MKL.

--
Gaëtan de Menten