Metadata-Version: 2.1
Name: lajobsparser
Version: 0.2.0
Summary: Parser for Los Angeles city jobs bulletins
Home-page: https://github.com/gavinln/lajobsparser
Author: Gavin Noronha
Author-email: gavinln@hotmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/gavinln/lajobsparser/issues
Project-URL: Source, https://github.com/gavinln/lajobsparser/
Description: # lajobsparser
        
        Parser for Los Angeles city jobs bulletins
        
        * Source code - [Github][10]
        
        [10]: https://github.com/gavinln/lajobsparser/
        
        The city of Los Angeles (LA) is running a [Kaggle competion][20] that uses the
        job bulletins for the city of LA jobs.
        
        [20]: https://www.kaggle.com/c/data-science-for-good-city-of-los-angeles
        
        The content, tone, and format of job bulletins can influence the quality of the
        applicant pool. Overly-specific job requirements may discourage diversity. The
        Los Angeles Mayor’s Office wants to reimagine the city’s job bulletins by using
        text analysis to identify needed improvements.
        
        The goal is to convert a folder full of plain-text job postings into a single
        structured CSV file and then to use this data to:
        
        1. identify language that can negatively bias the pool of applicants
        2. improve the diversity and quality of the applicant pool
        3. make it easier to determine which promotions are available to employees in
           each job class
        
        This project helps parse the job bulletins and associated files.
        
        ## Miscellaneous
        
        1. To install from github using pipenv
        
        ```
        pipenv install -e git+https://github.com/gavinln/lajobsparser.git#egg=lajobsparser
        ```
        
        ## Push a new version to PyPI
        
        1. Change version number in setup.py
        
        2. Run tests
        
        ```
        make test
        ```
        
        3. Build a distribution
        
        ```
        make sdist
        ```
        
        2. Run twine
        
        ```
        make twine
        ```
        
Keywords: kaggle text processing
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
