Use note directive.

Author: rossbar

content/tutorial-svd.md

@@ -151,7 +151,19 @@ It is possible to use methods from linear algebra to approximate an existing set
 
 +++
 
-**Note**: We will use NumPy's linear algebra module, [numpy.linalg](https://numpy.org/devdocs/reference/routines.linalg.html#module-numpy.linalg), to perform the operations in this tutorial. Most of the linear algebra functions in this module can also be found in [scipy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html#module-scipy.linalg), and users are encouraged to use the [scipy](https://docs.scipy.org/doc/scipy/reference/index.html#module-scipy) module for real-world applications. However, some functions in the [scipy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html#module-scipy.linalg) module, such as the SVD function, only support 2D arrays. For more information on this, check the [scipy.linalg page](https://docs.scipy.org/doc/scipy/tutorial/linalg.html).
+```{note}
+We will use NumPy's linear algebra module,
+[numpy.linalg](https://numpy.org/devdocs/reference/routines.linalg.html#module-numpy.linalg),
+to perform the operations in this tutorial.
+Most of the linear algebra functions in this module can also be found in
+[scipy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html#module-scipy.linalg),
+and users are encouraged to use the [scipy](https://docs.scipy.org/doc/scipy/reference/index.html#module-scipy)
+module for real-world applications.
+However, some functions in the
+[scipy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html#module-scipy.linalg)
+module, such as the SVD function, only support 2D arrays.
+For more information on this, check the [scipy.linalg page](https://docs.scipy.org/doc/scipy/tutorial/linalg.html).
+```
 
 +++