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removed unneeded notebooks, allowed openmc.Settings.max_order to take a None parameter, and revised notebooks according to comments from @paulromano, @wbinventor and @smharper.
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@ -6,12 +6,13 @@ Python API
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OpenMC includes a rich Python API that enables programmatic pre- and
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post-processing. The easiest way to begin using the API is to take a look at the
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example Jupyter_ notebooks provided. However, this assumes that you are already
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familiar with Python and common third-party packages such as NumPy_. If you have
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never programmed in Python before, there are many good tutorials available
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online. We recommend going through the modules from Codecademy_ and/or the
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`Scipy lectures`_. The full API documentation serves to provide more information
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on a given module or class.
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example Jupyter_ notebooks provided in the :ref:`examples` section of the
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documentation. However, this assumes that you are already familiar with Python
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and common third-party packages such as NumPy_. If you have never programmed in
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Python before, there are many good tutorials available online. We recommend
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going through the modules from Codecademy_ and/or the `Scipy lectures`_. The
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full API documentation serves to provide more information on a given module or
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class.
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------------------------------------
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:mod:`openmc` -- Basic Functionality
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