numexpr - Fast numerical array expression evaluator for Python and NumPy.

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

1 files changed, 1 insertions, 0 deletions

diff --git a/math/Makefile b/math/Makefile
index 0bd6eb9b047d..09760b34a1cd 100644
--- a/math/Makefile
+++ b/math/Makefile
@@ -453,6 +453,7 @@
     SUBDIR += py-networkx
     SUBDIR += py-numarray
     SUBDIR += py-numeric
+    SUBDIR += py-numexpr
     SUBDIR += py-numpy
     SUBDIR += py-plastex
     SUBDIR += py-probstat