Merge pull request #1857 from paulromano/remove-notebooks

Remove Jupyter notebooks from documentation
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Adam Nelson 2021-07-27 13:52:38 -05:00 committed by GitHub
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70 changed files with 10 additions and 28960 deletions

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@ -44,7 +44,6 @@ extensions = [
'sphinx.ext.viewcode',
'sphinxcontrib.katex',
'sphinx_numfig',
'nbsphinx'
]
if not on_rtd:
extensions.append('sphinxcontrib.rsvgconverter')

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../../../examples/jupyter/cad-based-geometry.ipynb

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../../../examples/jupyter/candu.ipynb

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../../../examples/jupyter/capi.ipynb

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../../../examples/jupyter/expansion-filters.ipynb

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../../../examples/jupyter/hexagonal-lattice.ipynb

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@ -1,73 +0,0 @@
.. _examples:
========
Examples
========
The following series of `Jupyter <https://jupyter.org/>`_ Notebooks provide
examples for how to use various features of OpenMC by leveraging the
:ref:`pythonapi`.
-------------
General Usage
-------------
.. toctree::
:maxdepth: 1
pincell
post-processing
pandas-dataframes
tally-arithmetic
capi
expansion-filters
search
nuclear-data
nuclear-data-resonance-covariance
pincell_depletion
--------
Geometry
--------
.. toctree::
:maxdepth: 1
hexagonal-lattice
triso
candu
cad-based-geometry
-----------------------------------
Multigroup Cross Section Generation
-----------------------------------
.. toctree::
:maxdepth: 1
mgxs-part-i
mgxs-part-ii
mgxs-part-iii
mdgxs-part-i
mdgxs-part-ii
---------------
Multigroup Mode
---------------
.. toctree::
:maxdepth: 1
mg-mode-part-i
mg-mode-part-ii
mg-mode-part-iii
-----------------
Unstructured Mesh
-----------------
.. toctree::
:maxdepth: 1
unstructured-mesh-part-i
unstructured-mesh-part-ii

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../../../examples/jupyter/mdgxs-part-i.ipynb

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../../../examples/jupyter/mdgxs-part-ii.ipynb

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../../../examples/jupyter/mg-mode-part-i.ipynb

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../../../examples/jupyter/mg-mode-part-ii.ipynb

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../../../examples/jupyter/mg-mode-part-iii.ipynb

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../../../examples/jupyter/mgxs-part-i.ipynb

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../../../examples/jupyter/mgxs-part-ii.ipynb

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../../../examples/jupyter/mgxs-part-iii.ipynb

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../../../examples/jupyter/nuclear-data-resonance-covariance.ipynb

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../../../examples/jupyter/nuclear-data.ipynb

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../../../examples/jupyter/pandas-dataframes.ipynb

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../../../examples/jupyter/pincell.ipynb

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../../../examples/jupyter/pincell_depletion.ipynb

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../../../examples/jupyter/post-processing.ipynb

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../../../examples/jupyter/search.ipynb

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../../../examples/jupyter/tally-arithmetic.ipynb

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../../../examples/jupyter/triso.ipynb

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../../../examples/jupyter/unstructured-mesh-part-i.ipynb

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../../../examples/jupyter/unstructured-mesh-part-ii.ipynb

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@ -36,7 +36,7 @@ Forum <https://openmc.discourse.group/>`_.
:maxdepth: 1
quickinstall
examples/index
Examples <https://github.com/openmc-dev/openmc/wiki/Example-Jupyter-Notebooks>
releasenotes/index
methods/index
usersguide/index

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@ -6,11 +6,11 @@ Python API
OpenMC includes a rich Python API that enables programmatic pre- and
post-processing. The easiest way to begin using the API is to take a look at the
:ref:`examples`. This assumes that you are already familiar with Python and
common third-party packages such as `NumPy <https://numpy.org/>`_. If you have
never used Python before, the prospect of learning a new code *and* a
programming language might sound daunting. However, you should keep in mind that
there are many substantial benefits to using the Python API, including:
examples_. This assumes that you are already familiar with Python and common
third-party packages such as `NumPy <https://numpy.org/>`_. If you have never
used Python before, the prospect of learning a new code *and* a programming
language might sound daunting. However, you should keep in mind that there are
many substantial benefits to using the Python API, including:
- The ability to define dimensions using variables.
- Availability of standard-library modules for working with files.
@ -50,3 +50,5 @@ or class.
data
capi
openmoc
.. _examples: https://github.com/openmc-dev/openmc/wiki/Example-Jupyter-Notebooks