On 4/14/2013 1:19 PM, Francesc Alted wrote: > ============================ > 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 > >
Hello, Looks good. All tests pass here on Python 2.6-3.3, 32&64 bit, numpy 1.7.1, VML/MKL 11.0.3, Windows 8. PyTables 2.4 also tests OK against the rc. Two small issues: 1) numexpr-2.1-rc1.tar.gz is missing the file missing_posix_functions.hpp 2) The latest version of MKL requires the following change (see <http://software.intel.com/en-us/articles/some-service-functions-have-become-obsolete-and-will-be-removed-in-subsequent-releases>): diff -r 97ab97673591 numexpr/module.cpp --- a/numexpr/module.cpp Sun Apr 14 22:11:47 2013 +0200 +++ b/numexpr/module.cpp Sun Apr 14 14:01:09 2013 -0700 @@ -277,7 +277,7 @@ { int len=198; char buf[198]; - MKLGetVersionString(buf, len); + MKL_Get_Version_String(buf, len); return Py_BuildValue("s", buf); } Thank you, Christoph ------------------------------------------------------------------------------ Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis & visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
