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        "author": "Gavin Noronha",
        "author_email": "gavinln@hotmail.com",
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        "description": "# lajobsparser\n\nParser for Los Angeles city jobs bulletins\n\n* Source code - [Github][10]\n\n[10]: https://github.com/gavinln/lajobsparser/\n\nThe city of Los Angeles (LA) is running a [Kaggle competion][20] that uses the\njob bulletins for the city of LA jobs.\n\n[20]: https://www.kaggle.com/c/data-science-for-good-city-of-los-angeles\n\nThe content, tone, and format of job bulletins can influence the quality of the\napplicant pool. Overly-specific job requirements may discourage diversity. The\nLos Angeles Mayor\u2019s Office wants to reimagine the city\u2019s job bulletins by using\ntext analysis to identify needed improvements.\n\nThe goal is to convert a folder full of plain-text job postings into a single\nstructured CSV file and then to use this data to:\n\n1. identify language that can negatively bias the pool of applicants\n2. improve the diversity and quality of the applicant pool\n3. make it easier to determine which promotions are available to employees in\n   each job class\n\nThis project helps parse the job bulletins and associated files.\n\n## Miscellaneous\n\n1. To install from github using pipenv\n\n```\npipenv install -e git+https://github.com/gavinln/lajobsparser.git#egg=lajobsparser\n```\n\n## Push a new version to PyPI\n\n1. Change version number in setup.py\n\n2. Run tests\n\n```\nmake test\n```\n\n3. Build a distribution\n\n```\nmake sdist\n```\n\n4. Open a browser to PyPI: https://pypi.org/project/lajobsparser/\n\n5. Run twine\n\n```\nmake twine\n```",
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