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| author | Jack <bytesandwich@users.noreply.github.com> | 2020-09-27 00:30:49 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-09-27 00:30:49 -0700 |
| commit | 4c94a5dbb1edb072af4776e2b193675de33cae06 (patch) | |
| tree | a9693a4d38cde1ef3609993476c62622c830d3b5 /doc/source | |
| parent | a2a6d0d24d99703ded59c31b98b259900469762f (diff) | |
| download | numpy-4c94a5dbb1edb072af4776e2b193675de33cae06.tar.gz | |
Minor grammatical correction in quickstart doc.
Single sentence grammatical correction.
Diffstat (limited to 'doc/source')
| -rw-r--r-- | doc/source/user/quickstart.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst index b1af81886..8e38234c5 100644 --- a/doc/source/user/quickstart.rst +++ b/doc/source/user/quickstart.rst @@ -23,7 +23,7 @@ https://scipy.org/install.html for instructions. **Learner profile** This tutorial is intended as a quick overview of -algebra and arrays in NumPy and want to understand how n-dimensional +algebra and arrays in NumPy. It demonstrates how n-dimensional (:math:`n>=2`) arrays are represented and can be manipulated. In particular, if you don't know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for |