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authorStefan van der Walt <stefanv@berkeley.edu>2018-07-25 23:32:28 -0700
committerStefan van der Walt <stefanv@berkeley.edu>2018-07-25 23:32:28 -0700
commit149636c6b764bfaf441a35115eacf0b3b1bc17f7 (patch)
tree544e730f290487e32e1ecfb37ceea776504ce22b /doc/neps
parenta4e6f5a12db146221975a2f3d1574434d2df3bf3 (diff)
downloadnumpy-149636c6b764bfaf441a35115eacf0b3b1bc17f7.tar.gz
scope: Clarify that we do care about speed
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-rw-r--r--doc/neps/scope.rst6
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diff --git a/doc/neps/scope.rst b/doc/neps/scope.rst
index 440f6256e..a675b8c96 100644
--- a/doc/neps/scope.rst
+++ b/doc/neps/scope.rst
@@ -39,4 +39,8 @@ Here, we describe aspects of N-d array computation that are within scope for Num
- f2py (generating bindings for Fortran code)
- testing utilities
-- **Speed**: while we take performance concerns seriously, where conflict arises maintenance and portability take precedence over performance. We aim to prevent regressions where possible (e.g., through asv).
+- **Speed**: we take performance concerns seriously and aim to execute
+ operations on large arrays with similar performance as native C
+ code. That said, where conflict arises, maintenance and portability take
+ precedence over performance. We aim to prevent regressions where
+ possible (e.g., through asv).