Package python-module-numexpr: Information

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.

Package python-module-numexpr: Information

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