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Updated README
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README.md

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@@ -86,8 +86,7 @@ pyLabFEA requires the following packages as imports:
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- [Scipy](https://www.scipy.org/) for numerical solutions
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- [scikit-learn](https://scikit-learn.org/stable/) for machine learning algorithms
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- [MatPlotLib](https://matplotlib.org/) for graphical output
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- [pandas](https://pandas.pydata.org/) for data import
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- [fireworks](https://materialsproject.github.io/fireworks/) direct import of data resulting from fireworks workflows
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## License
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The contents of the examples and notebooks are published under the
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
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([CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/))
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([CC BY-NC-SA 4.0 DEED](http://creativecommons.org/licenses/by-nc-sa/4.0/))

index.ipynb

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"\n",
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"The following tutorials and research applications refer to Jupyter notebooks provided in the [GitHub repository](https://github.com/AHartmaier/pyLabFEA.git) of pyLabFEA.\n",
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"\n",
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" - Author: Alexander Hartmaier\n",
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" - Authors: Alexander Hartmaier, Ronak Shoghi\n",
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" - Organization: ICAMS, Ruhr University Bochum, Germany\n",
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" - Contact: <[email protected]>\n",
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"\n",

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