DOC: Update links and development section.

docs/source/development/index.rst

@@ -3,10 +3,33 @@
 Development
 ===========
 
-To contribute to pymsis, all you need to do is fork the GitHub repository,
+To contribute to pymsis, you can fork the GitHub repository,
 add your code, and make a pull request. If you are adding additional functionality,
 you should also include a test with your enhancement.
 
-Pymsis is purposefully minimal, with numpy as the only dependency.
+Pymsis is purposefully minimal, with Numpy as the only dependency.
 This makes it easy for other packages to leverage the interface to the Fortran
 code without imposing a specific data storage or plotting framework.
+
+A typical development workflow might look like the following:
+
+.. code:: bash
+    
+    # Install the development dependencies
+    pip install .[dev]
+
+    # Install the pre-commit hooks
+    pre-commit install
+
+    # Update the code on a feature branch
+    git checkout -b my-cool-feature
+
+    # Run the tests
+    pytest
+
+    # Commit the changes and push to your remote repository
+    git add my-file
+    git commit
+    git push -u origin my-cool-feature
+
+    # Go to GitHub and open a pull request!

docs/source/index.rst

@@ -3,8 +3,9 @@ Pymsis Documentation
 ====================
 
 This is a lightweight Python wrapper around the MSIS00 and MSIS2 Fortran source code.
-The `MSIS model <https://www.nrl.navy.mil/ssd/branches/7630/modeling-upper-atmosphere>`_ is
-developed by the Naval Research Laboratory.
+The `MSIS model <https://www.nrl.navy.mil/Our-Work/Areas-of-Research/Space-Science/>`_ is
+developed by the Naval Research Laboratory. For quick access to the model data without any code,
+there is a web viewer that uses pymsis: `<https://swx-trec.com/msis>`_.
 
 The :ref:`examples` are a good reference for quickly getting started with the Python code and demonstrate
 how to call the models and plot the results. The explicit interfaces are described in the :ref:`api`.