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        "author": "Zach Lamberty",
        "author_email": "zach.lamberty@elderresearch.com",
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            "Development Status :: 3 - Alpha",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering"
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        "description": "# ERIPY\n\nThis package contains commonly useful functions and modules for data science purposes at Elder Research, Inc.\n\n\n## Submodules\n\nWhat is provided here is simply a high-level discussion of what is avilable in `eri`. For detailed instructions, please refer to the sub-module-level `README` files, and, of course, the function documentation. If any of the above does not exist, please seek out the author and shame them mercilessly\n\n\n### `eri.clean`\n\nUseful functions for cleaning your data (usually assumes `pandas` data frames).\n\n\n### `eri.config`\n\nShared configuration details.\n\n\n### `eri.html`\n\nHTML parsing and munging utilities.\n\n\n### `eri.validate`\n\nUseful functions for validating the data we have (often just logging useful facts about a particular dataframe).\n\n\n## Testing\n\nto test, install `pytest` and `coverage` and then run the following:\n\n``` python\n# run all tests\ncoverage run -m pytest\n```\n\n``` python\n# print coverage statistics\ncoverage report -m\n```\n\n## Deploying to `PyPi`\n\nI'm using `twine`. Instructions are [here](https://github.com/pypa/twine). to summarize, though:\n\n``` bash\npython setup.py sdist bdist_wheel\ntwine upload --repository-url https://test.pypi.org/legacy/ dist/*\ntwine upload --skip-existing dist/*\ntwine upload --skip-existing -r eri dist/*\n```\n\n\n",
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        "keywords": "data science",
        "license": "MIT",
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        "name": "eri",
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