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        "author": "John Bomidi",
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        "description": "# scidatapy\n\n**working with scientific data**\\\nscidatapy is a python (built on 3.7) package/library that enables working with scientific data  \nThe content here is non-proprietary and generic.  It includes data classes that have parsers reading data\nfrom various empirical or computational data files such as MTS load frames, AE systems, ABAQUS simulation etc. \nThere are also some general tools, that combine pint-pandas for dataframes with units, derivatives, changes in data, etc.\n\nStart out (after installation) as simple as ,  \n```python\n# insert code here\n# from \n```\nsee [`/scripts`](./scripts) directory to see more examples (under construction)\n\n# Installation\nTo install this package using pip:\n\n    pip install scidatapy\n\nAfter installation, import the package and its modules as any other package, as follows:\n```python\nimport scidatapy\n```\n# Cite and Support Ongoing Work\nThe suggested citation format is:\n\n    [List of contributors] et al., scidatapy -- A Python Package for working with scientific data, version v[x.x.x] ([date]). doi: [DOI] \n\nContact:\\\njohn.bomidi@gmail.com\n\nIf you are interested in source files, and contributing to this work, clone this repository. \nI would recommend using an environment that this package isn't installed in.\\\nDevelopment is ongoing at the moment and there are many known issues, and error handling is yet to be done.\n\n# Known Issues\n**dependent packages**\\\nCertain packages not available on pypi could not be included on install requires.\npint-pandas needs to be installed directly with pip and github - there may be a certain fork \nof pint-pandas that may be compatible from pandas v0.25.0\n\n\n# Acknowledgements \n\n\n",
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