rgeos/PuLP

US elections optimization with PuLP library

This is a very simple analysis of the US Presidential Elections intended to minimize the % of the total population needed in order to win the elections.

The application is build with Flask and it used PuLP library for optimization.

Python libraries requirements:

• Flask (http://flask.pocoo.org/)
• Flask_SQLalchemy (http://flask-sqlalchemy.pocoo.org)
• PuLP (https://github.com/coin-or/pulp)
• Python 3.6 or above

Linear Programming solvers requirements (at least one):

• CBC (https://projects.coin-or.org/Cbc)
• GLPK (https://www.gnu.org/software/glpk/)
• Other solvers https://en.wikipedia.org/wiki/Linear_programming#Solvers_and_scripting_(programming)_languages

How to use:

1. Download the repository locally git clone git@github.com:rgeos/PuLP.git
2. cd PuLP
3. Run the application with python main.py run
4. Access the application via web browser localhost:8001

API access points:

1. localhost:8001/opt1 - bin assignment problem
2. localhost:8001/opt2/0 - knapsack problem version 1
3. localhost:8001/opt2/1 - knapsack problem version 2

For details on the above API access points check the blog at this link.