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From: Anthony S. <sc...@gm...> - 2013-04-27 17:30:53
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Congrats Francesc! On Sat, Apr 27, 2013 at 5:07 AM, Francesc Alted <fa...@gm...> 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 > > > > ------------------------------------------------------------------------------ > Try New Relic Now & We'll Send You this Cool Shirt > New Relic is the only SaaS-based application performance monitoring service > that delivers powerful full stack analytics. Optimize and monitor your > browser, app, & servers with just a few lines of code. Try New Relic > and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr > _______________________________________________ > Pytables-users mailing list > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users > |