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authorponce <matteo.bernardini@gmail.com>2012-08-23 12:30:12 +0200
committerRobby Workman <rworkman@slackbuilds.org>2012-08-23 15:49:25 -0500
commit7f78f15a930a635d084ca05ea7ef33e8e03d140d (patch)
treec979ed423b45b80bd9bcf2ffbc015736b27e19dd /python
parentae69d10bf4318f16b9e544d52841420bce53166f (diff)
downloadslackbuilds-7f78f15a930a635d084ca05ea7ef33e8e03d140d.tar.gz
python/numexpr: Fixed dep information
Diffstat (limited to 'python')
-rw-r--r--python/numexpr/README2
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.