mirror of
https://github.com/Ponce/slackbuilds
synced 2024-11-16 19:50:19 +01:00
12 lines
763 B
Text
12 lines
763 B
Text
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).
|