Parser for Los Angeles city jobs bulletins

• Source code - Github

The city of Los Angeles (LA) is running a Kaggle competion that uses the job bulletins for the city of LA jobs.

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.

1. To install from github using pipenv

pipenv install -e git+https://github.com/gavinln/lajobsparser.git#egg=lajobsparser

1. Change version number in setup.py

2. Run tests

make test

3. Build a distribution

make sdist

4. Open a browser to PyPI: https://pypi.org/project/lajobsparser/

5. Run twine

make twine