FreeBSD ports tree https://cgit-dev.freebsd.org/ports/atom?h=7-eol 2013-01-30T19:51:53Z 2013-01-30T19:51:53Z Sunpoet Po-Chuan Hsieh sunpoet@FreeBSD.org 2013-01-30T19:51:53Z urn:sha1:b29a55732f0941295b5f5ef0b3c3ac230a69faff - Cleanup Makefile header - Sort PLIST Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes 2011-09-23T05:03:38Z Sunpoet Po-Chuan Hsieh sunpoet@FreeBSD.org 2011-09-23T05:03:38Z urn:sha1:9094e9fa533710207a2af5832073b4f93a80cc63 Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes 2011-09-21T17:07:19Z Sunpoet Po-Chuan Hsieh sunpoet@FreeBSD.org 2011-09-21T17:07:19Z urn:sha1:e6762dbc51e2816c6302f7e46ce3e42882e80e35 - Take maintainership 2011-09-21T16:48:43Z Thomas Abthorpe tabthorpe@FreeBSD.org 2011-09-21T16:48:43Z urn:sha1:bfc22dc30747dd00bab2215ad4ac9e750ba172f4 2010-10-21T01:39:56Z Wen Heping wen@FreeBSD.org 2010-10-21T01:39:56Z urn:sha1:bb4da8f5a18ffe98400d278e73ac7331583c8031 Approved by: maintainer(implicit) 2010-07-05T08:18:12Z Wen Heping wen@FreeBSD.org 2010-07-05T08:18:12Z urn:sha1:714db4465a30d893e20064843c6533e2189037e4 The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Also, numexpr has support for the Intel VML (Vector Math Library) -- integrated in Intel MKL (Math Kernel Library) --, allowing nice speed-ups when computing transcendental functions (like trigonometrical, exponentials...) on top of Intel-compatible platforms. This support also allows to use multiple cores in your computations. WWW: http://code.google.com/p/numexpr/ PR: ports/148372 Submitted by: Ju Pengfei <jupengfei@gmail.com> Feature safe: yes