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Diffstat (limited to 'development/numexpr/README')
| -rw-r--r-- | development/numexpr/README | 14 |
1 files changed, 0 insertions, 14 deletions
diff --git a/development/numexpr/README b/development/numexpr/README deleted file mode 100644 index 7d34e96b2d..0000000000 --- a/development/numexpr/README +++ /dev/null @@ -1,14 +0,0 @@ -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. |