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authorSebastian Berg <sebastian@sipsolutions.net>2021-09-21 15:54:11 -0700
committerGitHub <noreply@github.com>2021-09-21 15:54:11 -0700
commit66d33faabf1f19d4b192c38e927dfa727b0ed61f (patch)
treef657cee2e071c1394f993abf9f1b3a18504414c6 /doc/source/user/c-info.python-as-glue.rst
parenta838abe68ce6bf8164c31cc35a2ac8d5485754ec (diff)
parent83960267dc097742cb67ef575504afa56f82b102 (diff)
downloadnumpy-66d33faabf1f19d4b192c38e927dfa727b0ed61f.tar.gz
Merge pull request #19911 from DimitriPapadopoulos/codespell
DOC: Typos found by codespell
Diffstat (limited to 'doc/source/user/c-info.python-as-glue.rst')
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1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/c-info.python-as-glue.rst b/doc/source/user/c-info.python-as-glue.rst
index 8643d0dd1..2798aa08a 100644
--- a/doc/source/user/c-info.python-as-glue.rst
+++ b/doc/source/user/c-info.python-as-glue.rst
@@ -1115,7 +1115,7 @@ SWIG
Simplified Wrapper and Interface Generator (SWIG) is an old and fairly
stable method for wrapping C/C++-libraries to a large variety of other
languages. It does not specifically understand NumPy arrays but can be
-made useable with NumPy through the use of typemaps. There are some
+made usable with NumPy through the use of typemaps. There are some
sample typemaps in the numpy/tools/swig directory under numpy.i together
with an example module that makes use of them. SWIG excels at wrapping
large C/C++ libraries because it can (almost) parse their headers and