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        "author": "Zakaria Elkatani",
        "author_email": "zelkatani@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "swot\n----\n\nIf you have a product or service and offer **academic discounts**,\nthere's a good chance there's some manual component to the approval\nprocess. Perhaps ``.edu`` email addresses are automatically approved\nbecause, for the most part at least, they're associated with American\npost-secondary educational institutions. Perhaps ``.ac.uk`` email\naddresses are automatically approved because they're guaranteed to\nbelong to British universities and colleges. Unfortunately, not every\ncountry has an education-specific TLD (Top Level Domain) and plenty of\nschools use ``.com`` or ``.net``.\n\nSwot is a community-driven or crowdsourced library for verifying that\ndomain names and email addresses are tied to a legitimate university of\ncollege - more specifically, an academic institution providing higher\neducation in tertiary, quaternary or any other kind of post-secondary\neducation in any country in the world.\n\nInstallation\n------------\n\nInstall swot with pip::\n\n    pip install swot\n\nUsage\n-----\n::\n\n    >>> import swot\n\n    >>> swot.is_academic(\"student@rutgers.edu\") \n    True\n    >>> swot.is_academic(\"coolboy1998@hotmail.com\") \n    False\n\n    # Url's work as well\n    >>> swot.is_academic(\"https://www.brown.edu\")\n    True\n    >>> swot.is_academic(\"http://web.mit.edu:8080\") \n    True\n\n    # We can also get school names\n    >>> swot.get_school_name(\"ze@cornell.edu\") \n    [\"Cornell University\"] \n    >>> swot.get_school_name(\"harvard.edu\") \n    [\"Harvard University\"]\n\n\n",
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