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| author | ponce <matteo.bernardini@gmail.com> | 2012-08-23 12:30:12 +0200 |
|---|---|---|
| committer | Robby Workman <rworkman@slackbuilds.org> | 2012-08-23 15:49:25 -0500 |
| commit | 7f78f15a930a635d084ca05ea7ef33e8e03d140d (patch) | |
| tree | c979ed423b45b80bd9bcf2ffbc015736b27e19dd | |
| parent | ae69d10bf4318f16b9e544d52841420bce53166f (diff) | |
| download | slackbuilds-7f78f15a930a635d084ca05ea7ef33e8e03d140d.tar.gz | |
python/numexpr: Fixed dep information
| -rw-r--r-- | python/numexpr/README | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/python/numexpr/README b/python/numexpr/README index 7d34e96b2d..30cffee3aa 100644 --- a/python/numexpr/README +++ b/python/numexpr/README @@ -10,5 +10,3 @@ 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. |