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| author | Kevin Moore <k.james.moore@gmail.com> | 2020-05-21 16:34:15 -0400 |
|---|---|---|
| committer | Kevin Moore <k.james.moore@gmail.com> | 2020-05-21 16:40:26 -0400 |
| commit | 6dfce7f498a9ee7f4cb396105270793ddc828e80 (patch) | |
| tree | b1bc1754ef41429f0c5be43233c2270f0935da49 /doc/neps | |
| parent | 41e254f96e8d5bd558d2edbf8b198eb4143e8b74 (diff) | |
| download | numpy-6dfce7f498a9ee7f4cb396105270793ddc828e80.tar.gz | |
DOC: Fix spelling typo - homogenous to homogeneous. (#16324)
Diffstat (limited to 'doc/neps')
| -rw-r--r-- | doc/neps/nep-0022-ndarray-duck-typing-overview.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/neps/nep-0022-ndarray-duck-typing-overview.rst b/doc/neps/nep-0022-ndarray-duck-typing-overview.rst index 077166453..9ece915a7 100644 --- a/doc/neps/nep-0022-ndarray-duck-typing-overview.rst +++ b/doc/neps/nep-0022-ndarray-duck-typing-overview.rst @@ -23,7 +23,7 @@ Detailed description -------------------- Traditionally, NumPy’s ``ndarray`` objects have provided two things: a -high level API for expression operations on homogenously-typed, +high level API for expression operations on homogeneously-typed, arbitrary-dimensional, array-structured data, and a concrete implementation of the API based on strided in-RAM storage. The API is powerful, fairly general, and used ubiquitously across the scientific |