[Numpy-discussion] [Pytables-users] ANN: numexpr 2.1 (Python 3 support is here!)

[Anthony Scopatz]

Congrats Francesc!


On Sat, Apr 27, 2013 at 5:07 AM, Francesc Alted <faltet at gmail.com> wrote:

> ========================
>   Announcing Numexpr 2.1
> ========================
>
> 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 (included in Intel MKL), which allows an extremely fast
> evaluation of transcendental functions (sin, cos, tan, exp, log...)
> while squeezing the last drop of performance out of your multi-core
> processors.
>
> Its only dependency is NumPy (MKL is optional), so it works well as an
> easy-to-deploy, easy-to-use, computational kernel for projects that
> don't want to adopt other solutions that require more heavy
> dependencies.
>
> What's new
> ==========
>
> The main feature of this version is that it adds a much needed
> **compatibility for Python 3**
>
> Many thanks to Antonio Valentino for his fine work on this.
> Also, Christoph Gohlke quickly provided feedback and binaries for
> Windows and Mark Wiebe and Gaëtan de Menten provided many small
> (but important!) fixes and improvements.  All of you made numexpr 2.1
> the best release ever.  Thanks!
>
> 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 data!
>
> Francesc Alted
>
>
>
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