Hi Francesc, Il 14/04/2013 22:19, Francesc Alted ha scritto: > ============================ > 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 >
probably it is a little bit late now but it would be nice if you could consider to include the patches (patch 0002 and 0003) used in debian [1]. Patch 0001 can probably be avoided by adding setup.cfg to the MANIFEST.in file. thanks in advance [1] http://anonscm.debian.org/gitweb/?p=debian-science/packages/numexpr.git;a=tree;f=debian/patches;h=73937039da00e4ecbd9318a856be4aa39325e55f;hb=HEAD -- Antonio Valentino ------------------------------------------------------------------------------ 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 Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
