[Pandas-dev] Fwd: [Pytables-users] ANN: numexpr 2.1 RC1 available!

[Jeff Reback]

when this is final will want to pick this up in the 3.2 full dep Travis build (if its not already)


Begin forwarded message:

> From: Francesc Alted <faltet at gmail.com>
> Date: April 14, 2013, 4:19:31 PM EDT
> To: numexpr at googlegroups.com
> Cc: Discussion list for PyTables <pytables-users at lists.sourceforge.net>
> Subject: [Pytables-users] ANN: numexpr 2.1 RC1 available!
> Reply-To: Discussion list for PyTables <pytables-users at lists.sourceforge.net>
> 
> ============================
>  Announcing Numexpr 2.1RC1
> ============================
> 
> 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
> ==========
> 
> This version adds compatibility for Python 3.  A bunch of thanks to 
> Antonio Valentino for his excelent work on this.I apologize for taking 
> so long in releasing his contributions.
> 
> 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/
> 
> This is a release candidate 1, so it will not be available on the PyPi 
> repository.  I'll post it there when the final version will released.
> 
> Share your experience
> =====================
> 
> Let us know of any bugs, suggestions, gripes, kudos, etc. you may
> have.
> 
> 
> Enjoy!
> 
> --
> Francesc Alted
> 
> 
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