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| author | Ross Barnowski <rossbar@berkeley.edu> | 2021-02-21 10:46:29 -0800 |
|---|---|---|
| committer | Ross Barnowski <rossbar@berkeley.edu> | 2021-02-21 10:46:29 -0800 |
| commit | cfeda59146ad81c29d9f23d1e8dc572cd18236d4 (patch) | |
| tree | cd148434c92c4c7b34ab2a8854d7197cebb3abe3 /doc/source/user | |
| parent | 0a40e306a5358731bcb1eee5e2727e842f5e1137 (diff) | |
| download | numpy-cfeda59146ad81c29d9f23d1e8dc572cd18236d4.tar.gz | |
Remove LinAlg heading, mv link to further reading.
* Remove reference to algebra in the intro text.
* Link to linalg tutorial in Further Reading
* Remove linalg heading + WIP from quickstart.
Diffstat (limited to 'doc/source/user')
| -rw-r--r-- | doc/source/user/quickstart.rst | 9 |
1 files changed, 2 insertions, 7 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst index 77569f6bb..b50d8a5ba 100644 --- a/doc/source/user/quickstart.rst +++ b/doc/source/user/quickstart.rst @@ -20,8 +20,7 @@ in addition to NumPy. **Learner profile** -This is a quick overview of -algebra and arrays in NumPy. It demonstrates how n-dimensional +This is a quick overview of 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 @@ -1391,11 +1390,6 @@ Indexing with strings See :ref:`structured_arrays`. -Linear Algebra -============== - -See :doc:`tutorial-svd` - Tricks and Tips =============== @@ -1484,3 +1478,4 @@ Further reading - `SciPy Tutorial <https://docs.scipy.org/doc/scipy/reference/tutorial/index.html>`__ - `SciPy Lecture Notes <https://scipy-lectures.org>`__ - A `matlab, R, IDL, NumPy/SciPy dictionary <http://mathesaurus.sf.net/>`__ +- :doc:`tutorial-svd` |