mirror of
https://github.com/Ponce/slackbuilds
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143991a46e
This field used to make sense in our pre-git days, but the Signed-Off-By: line serves the same purpose (and even more) now, so APPROVED has been rejected. ;-) Signed-off-by: Robby Workman <rworkman@slackbuilds.org> |
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| numexpr.info | ||
| numexpr.SlackBuild | ||
| README | ||
| slack-desc | ||
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, and since version 1.4, 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 operations (memory-bounded were already the strong point of Numexpr). This requires numpy.