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        "author": "Omkar Pathak",
        "author_email": "omkarpathak27@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries"
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        "description": "pyresparser\n===========\n\nA simple resume parser used for extracting information from resumes\n\nFeatures\n========\n\n-  Extract name\n-  Extract email\n-  Extract mobile numbers\n-  Extract skills\n-  Extract total experience\n-  Extract education (not very accurate as of now)\n-  Extract experience (not very accurate as of now)\n\nInstallation\n============\n\n-  You can install this package using\n\n.. code:: bash\n\n    pip install pyresparser\n\n-  For NLP operations we use spacy and nltk. Install them using below\n   commands:\n\n.. code:: bash\n\n    # spaCy\n    python -m spacy download en_core_web_sm\n\n    # nltk\n    python -m nltk.downloader words\n\nSupported File Formats\n======================\n\n-  PDF and DOCx files are supported on all Operating Systems\n-  If you want to extract DOC files you can install\n   `textract <https://textract.readthedocs.io/en/stable/installation.html>`__\n   for your OS (Linux, MacOS)\n-  Note: You just have to install textract (and nothing else) and doc\n   files will get parsed easily\n\nCLI\n===\n\nFor running the resume extractor you can also use the ``cli`` provided\n\n.. code:: bash\n\n    usage: pyresparser [-h] [-f FILE] [-d DIRECTORY]\n\n    optional arguments:\n      -h, --help                              show this help message and exit\n      -f FILE, --file FILE                    resume file to be extracted\n      -d DIRECTORY, --directory DIRECTORY     directory containing all the resumes to be extracted\n      -r REMOTEFILE, --remotefile REMOTEFILE  remote path for resume file to be extracted\n\nFor extracting data from a single resume file, use\n\n.. code:: bash\n\n    pyresparser -f <resume_file_path>\n\nFor extracting data from several resumes, place them in a directory and\nthen execute\n\n.. code:: bash\n\n    pyresparser -d <resume_directory_path>\n\nFor extracting data from remote resumes, execute\n\n.. code:: bash\n\n    pyresparser -r <path_to_remote_resume_file>\n\nNotes:\n======\n\n-  If you are running the app on windows, then you can only extract\n   .docs and .pdf files\n\nResult\n======\n\nThe module would return a list of dictionary objects with result as\nfollows:\n\n::\n\n    [\n        {\n            'college_name': ['Marathwada Mitra Mandal\u2019s College of Engineering'],\n            'company_names': None,\n            'degree': ['B.E. IN COMPUTER ENGINEERING'],\n            'designation': ['Manager',\n                            'TECHNICAL CONTENT WRITER',\n                            'DATA ENGINEER'],\n            'email': 'omkarpathak27@gmail.com',\n            'mobile_number': '8087996634',\n            'name': 'Omkar Pathak',\n            'no_of_pages': 3,\n            'skills': ['Operating systems',\n                        'Linux',\n                        'Github',\n                        'Testing',\n                        'Content',\n                        'Automation',\n                        'Python',\n                        'Css',\n                        'Website',\n                        'Django',\n                        'Opencv',\n                        'Programming',\n                        'C',\n                        ...],\n            'total_experience': 1.83\n        }\n    ]\n\nReferences that helped me get here\n==================================\n\n-  https://www.kaggle.com/nirant/hitchhiker-s-guide-to-nlp-in-spacy\n\n-  https://www.analyticsvidhya.com/blog/2017/04/natural-language-processing-made-easy-using-spacy-%E2%80%8Bin-python/\n\n-  [https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48](https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48)\n\nBuilt with \u2665 and :coffee: by ```Omkar Pathak`` <http://www.omkarpathak.in/>`__\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nDonation\n========\n\nIf you have found my softwares to be of any use to you, do consider\nhelping me pay my internet bills. This would encourage me to create many\nsuch softwares :)\n\n+-----------+----+\n| PayPal    |    |\n+===========+====+\n| \u20b9 (INR)   |    |\n+-----------+----+\n\n\n\n",
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        "license": "GPL-3.0",
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