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Add links to Python resources in main Python API doc page
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@ -6,8 +6,12 @@ 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. The full API documentation serves to provide
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more information on a given module or class.
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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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**Handling nuclear data:**
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@ -60,3 +64,8 @@ more information on a given module or class.
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examples/pandas-dataframes
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examples/tally-arithmetic
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.. _Jupyter: https://jupyter.org/
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.. _NumPy: http://www.numpy.org/
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.. _Codecademy: https://www.codecademy.com/tracks/python
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.. _Scipy lectures: https://scipy-lectures.github.io/
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