{ "info": { "author": "Geoffrey Lentner", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering" ], "description": "Dataphile\n=========\n\nDataphile is a high-level python package for both data analysis and data processing. It started as\na central repository of common tasks and capabilities used by the author, but has now evolved into\nsomething others might find useful. See [components](#Components) below.\n\n\n[![GitHub License](http://img.shields.io/badge/license-Apache-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0)\n[![PyPI Version](https://img.shields.io/pypi/v/dataphile.svg)](https://pypi.org/project/dataphile/)\n[![Docs Latest](https://readthedocs.org/projects/dataphile/badge/?version=latest)](https://dataphile.readthedocs.io)\n\n---\n\n\n\n\n**Figure**: Demonstration of Dataphile's `AutoGUI` feature.\n\nInstallation\n------------\n\nTo install Dataphile for general purposes use Pip:\n\n```\npip install dataphile\n```\n\nIf you are using Anaconda, install using the above call to pip _from inside your environment_.\nThere is not as of yet a separate conda package.\n\nDocumentation\n-------------\n\nDocumentation will be available at [dataphile.readthedocs.io](https://dataphile.readthedocs.io).\nCurrently, development of additional features is a priority, but this is a great place for\ncontributing to the project.\n\nContributions\n-------------\n\nContributions are welcome in the form of suggestions for additional features, pull requests with\nnew features or bug fixes, etc. If you find bugs or have questions, open an _Issue_ here. If and\nwhen the project grows, a code of conduct will be provided along side a more comprehensive set of\nguidelines for contributing; until then, just be nice.\n\nRoad Map\n--------\n\n- **additional command line tools**
\n\tMany additional command line tools are planned for future releases including tools that expose\n\tdatabase queries and filters. Generally, just a massive extension of the UNIX philosophy whereby\n\twe can compose several functions together with pipes to make unique workflows.\n\n- **data acquisition**
\n\tOne of the motivations for this package was to provide an easy-to-use, high-level interface to\n\tcollecting scientific data from an externel device (e.g., over USB). This, along side a simple\n\tlive data visualization feature would go a long way for high school and university student\n\tlaboratory courses to both aquire and analyze their data using all open-source tools right inside\n\tof a [Jupyter Notebook](https://jupyter.org).\n\n- **documentation and package management**
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