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        "author": "Elliot Marsden",
        "author_email": "elliot.marsden@gmail.com",
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            "Programming Language :: Python :: 2.7",
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            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
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        "description": "# Reportify\n\n## Installation\n\nAssuming you have pip installed, you can run\n\n```bash\npip install reportify --user\n```\n\nOmit `--user` if you are running in a Python virtual environment, but otherwise keep it: don't use sudo, it's dangerous because it modifies the Python environment that your operating system may rely on.\n\nIf you aren't running in a Python virtual environment, you may need to add `~/.local/bin` to your `PATH` environment variable. This can be done by editing your shell initialization script, usually `~/.bashrc`. (The tilde character '~' will expand to the path to your home directory). Add the following line to the end of that file:\n\n```bash\nexport PATH=~/.local/bin:$PATH\n```\n\nNow check that the `reportify` script is available by trying `reportify --help`. If you see usage information, everything went fine. If you get something like 'command not found', then everything went not fine.\n\n## Usage\n\nTo see arguments, run `reportify --help`.\n\nInside the repository's `examples` directory is an example notebook, `example.ipynb`, on which you can try reportify:\n\n```bash\nreportify example.ipynb\n```\n\nthis should output a file, `example.html`, in the current directory.\n\n\n",
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        "keywords": "jupyter report data-science analytics",
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        "name": "reportify",
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        "summary": "Generate report-like documents from Jupyter notebooks",
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