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| author | Melissa Weber Mendonça <melissawm@gmail.com> | 2020-01-24 10:38:36 -0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-01-24 10:38:36 -0300 |
| commit | 00fdd4824abad19724dfc5eea1fdbc69149013b3 (patch) | |
| tree | d4f3b5f91e629ee1c1241b69e64766185578554a | |
| parent | 7d5d71e931f8362ea43b313061d7b50b2fcd52e1 (diff) | |
| download | numpy-00fdd4824abad19724dfc5eea1fdbc69149013b3.tar.gz | |
Update doc/source/user/tutorial-svd.rst
Co-Authored-By: Anne Bonner <35413198+bonn0062@users.noreply.github.com>
| -rw-r--r-- | doc/source/user/tutorial-svd.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/tutorial-svd.rst b/doc/source/user/tutorial-svd.rst index e4f31d96e..d47432a56 100644 --- a/doc/source/user/tutorial-svd.rst +++ b/doc/source/user/tutorial-svd.rst @@ -24,7 +24,7 @@ This tutorial is for people who have a basic understanding of linear algebra and arrays in NumPy and want to understand 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 wish to understand axis and shape properties for +using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this tutorial might be of help. **Learning Objectives** |