Metadata-Version: 1.1
Name: resume-parser
Version: 0.8.1
Summary: A resume parser used for extracting information from resumes
Home-page: https://github.com/kbrajwani/resume_parser
Author: kumar
Author-email: kumarrajwani1811@gmail.com
License: MIT
Description: Resume parser
        =============
        Premium resume parsing services have been moved to [Resume-Parser](https://www.resume-parser.com/application/resumes). Please try the demo for free and give us your [feedback](https://www.resume-parser.com)
        
        ::
        
            A resume parser used for extracting information from resumes
        
        Built with ❤︎ and :coffee: by `Kumar
        Rajwani <https://github.com/kbrajwani>`__ and `Brian
        Njoroge <https://github.com/Brianjoroge>`__
        
        --------------
        
        Features
        ========
        
        -  Extract name
        -  Extract email
        -  Extract mobile numbers
        -  Extract skills
        -  Extract total experience
        -  Extract college name
        -  Extract degree
        -  Extract designation
        -  Extract company names
        
        Installation
        ============
        
        -  You can install this package using
        
        .. code:: bash
        
            pip install resume-parser
        
        -  For NLP operations we use spacy and nltk. Install them using below
           commands:
        
        .. code:: bash
        
            # spaCy
            python -m spacy download en_core_web_sm
        
            # nltk
            python -m nltk.downloader stopwords
            python -m nltk.downloader punkt
            python -m nltk.downloader averaged_perceptron_tagger
            python -m nltk.downloader universal_tagset
            python -m nltk.downloader wordnet
            python -m nltk.downloader brown
            python -m nltk.downloader maxent_ne_chunker
        
        Supported File Formats
        ======================
        
        -  PDF and DOCx and TXT files are supported on all Operating Systems
        
        Usage
        =====
        
        -  Import it in your Python project
        
        .. code:: python
        
            from resume_parser import resumeparse
        
            data = resumeparse.read_file('/path/to/resume/file')
        
        Result
        ======
        
        The module would return a dictionary with result as follows:
        
        ::
        
            {'degree': ['BSc','MSc'],
                 'designition': [
                     'content writer',
                     'data scientist',
                     'systems administrator',
                 ],
                 'email': 'maunarokguy@gmail.com',
                 'name': 'Brian Njoroge',
                 'phone': '+918511593595',
                 'skills': [
                     'Python',
                     ' C++',
                     'Power BI',
                     'Tensorflow',
                     'Keras',
                     'Pytorch',
                     'Scikit-Learn',
                     'Pandas',
                     'NLTK',
                     'OpenCv',
                     'Numpy',
                     'Matplotlib',
                     'Seaborn',
                     'Django',
                     'Linux',
                     'Docker'],
                 'total_exp': 3,
                 'university': ['gujarat university', 'wuhan university', 'egerton university']}
        
        
Keywords: resume,parser,cv
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
