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        "author": "Daniel Roberto Cassar",
        "author_email": "daniel.r.cassar@gmail.com",
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            "Development Status :: 2 - Pre-Alpha",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering"
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        "description": "# Welcome to GlassPy\nGlassPy is a Python module for scientists working with glass materials.\n\n## What is it?\nThe aim is to provide classes and functions written in Python for materials scientists working with glass and non-crystalline materials. The hope is that with an open and collaborative project, we can build a reliable toolset to support faster and reproducible research on this topic.\n\n## How to install\nThe source code is hosted on GitHub at: https://github.com/drcassar/glasspy.\n\nBinary installers for the latest released version are available at the [Python Package Index](https://pypi.org/project/glasspy/). To install GlassPy using pip run\n\n```sh\npip install glasspy\n```\n\nTo install the latest development version of GlassPy run\n\n```sh\npip install --upgrade git+git://github.com/drcassar/glasspy\n```\n\n## Development\nGlassPy was born as a personal tool back in 2013 when I started coding with Python. It is based on a colection of MATLAB code that I wrote for the Glass State graduate course of 2010 and for the numerical analysis during my PhD.\n\nRight now, I'm sorting all my code and adequately documenting it to build this Python module. My personal objective is to increase the reproducibility of my research and hopefully be useful for researchers working in the field of glass science.\n\n## Documentation\nThere is no documentation right now, but all the functions have detailed docstring.\n\nSome examples are provided as notebooks in Google Colab (they run in the cloud, so you can test GlassPy without the need of installing anything on your machine):\n\n- [Finding the Kauzmann Temperature](https://colab.research.google.com/drive/1WAVddrOSDG7_pydV9g-WBfBisKQrMVeF)\n- [Regression of nucleation density data](https://colab.research.google.com/drive/139ke_S3eNq6MvJ3A_GnTWtlI8rn2QwKf)\n- [Regression of viscosity data](https://colab.research.google.com/drive/1U_xSg4H-de9QDlXChCN9Tsda8VlBlbAI)\n- [Nucleation kinetic model](https://colab.research.google.com/drive/1mRAr0HNXcO5YaAFktir-Kb9K4ZUdiXk_)\n\n## Dependencies\n- [Python 3.6+](https://www.python.org/)\n- [NumPy](https://www.numpy.org)\n- [SciPy](https://www.scipy.org/)\n- [Pandas](https://pandas.pydata.org/)\n- [lmfit](https://lmfit.github.io/lmfit-py/)\n\n## Other python repositories for glass science\n- [RelaxPy](https://github.com/Mauro-Glass-Group/RelaxPy) - Module to compute glass relaxation kinetics.\n- [PyGlass](https://github.com/jrafolsr/PyGlass) - Module to simulate the specific heat signature of glasses with a specified thermal treatment following the Tool-Narayanaswamy-Moynihan model.\n\n## License\n[GPL](https://github.com/drcassar/glasspy/blob/master/LICENSE)\n\nGlassPy, Python module for scientists working with glass materials. Copyright (C) 2019 Daniel Roberto Cassar\n\nThis program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.\n\n\n",
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