Package python-module-numexpr: Information

Source package: python-module-numexpr

Version: 2.0.2-alt1.hg20121113

Build time:  Apr 2, 2013, 06:52 AM

Category: Development/Python

Home page: http://code.google.com/p/numexpr/

License: MIT

Summary: Fast numerical array expression evaluator for Python and NumPy

Description: 

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.

List of rpms provided by this srpm:
python-module-numexpr (x86_64, i586)
python-module-numexpr-debuginfo (x86_64, i586)
python-module-numexpr-tests (x86_64, i586)

Maintainer: Eugeny A. Rostovtsev

ACL:
@qa_p7