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author | Peter Andreas Entschev <peter@entschev.com> | 2020-08-19 18:27:23 +0200 |
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committer | GitHub <noreply@github.com> | 2020-08-19 18:27:23 +0200 |
commit | 101700710dbe5bdfa891d43f1fc14fb6439082ea (patch) | |
tree | 4ac6acadc2d84ff26e35ebdc06d99e14ce12d8d4 /doc/neps | |
parent | cde3543863a711ae211138f045eeebc10e473974 (diff) | |
download | numpy-101700710dbe5bdfa891d43f1fc14fb6439082ea.tar.gz |
Update doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst
Co-authored-by: Matti Picus <matti.picus@gmail.com>
Diffstat (limited to 'doc/neps')
-rw-r--r-- | doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst b/doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst index 4b6147ca8..d783df5b0 100644 --- a/doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst +++ b/doc/neps/nep-0035-array-creation-dispatch-with-array-function.rst @@ -24,9 +24,8 @@ Motivation and Scope -------------------- Many libraries implement the NumPy API, such as Dask for graph -computing, CuPy for GPGPU computing, xarray for N-D labeled arrays, etc. All -the libraries mentioned have yet another thing in common: they have also adopted -the ``__array_function__`` protocol; a protocol that allows NumPy to understand +computing, CuPy for GPGPU computing, xarray for N-D labeled arrays, etc. Underneath, +they have adopted the ``__array_function__`` protocol which allows NumPy to understand and treat downstream objects as if they are the native ``numpy.ndarray`` object. Hence the community while using various libraries still benefits from a unified NumPy API. This not only brings great convenience for standardization but also |