资 源 简 介
IMPORTANT NOTICE
**Please be aware that the numexpr project has been migrated to GitHub. This site has been declared unmaintained as of 2014-01-21. Sorry for the inconveniences.**
-- Francesc Alted
What It Is
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 on the fly into code for its internal virtual machine (VM).
Due to its integrated just-in-time (JIT) compiler, it does not
require a compiler at runtime.
Also,numexpr implements support for multi-threading
computations straight into its internal virtual machine, written in C.
This allows to bypass the GIL in Python, and allows near-optimal parallel
performance in your vector expressions, most specially on CPU-bounded
operat
