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-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.