Welcome to PyMathProg

This is the documentation for PyMathProg. PyMathProg is an easy and flexible mathematical programming environment for Python. It makes modelling, solving, analyzing, modifying and manipulating linear programs super easy and highly flexible in Python.

Great features offered by PyMathProg include:

• Ergonomic syntax for modelling
• Friendly interactive session
• Sensitivity report
• Advanced solver options
• Automatic model update on parameter changes
• Parameters sharable between models
• Deleting variables/constraints
• Supporting both Python 2 and 3
• Supporting all major platforms

Quick installation

pip install pymprog

That's it. Since it is a pure Python project that only depends on swiglpk, it can be installed this way wherever swiglpk can be installed. Currently, swiglpk comes with binary wheels for Windows, Mac, and Linux. If you'd like to have PyMathProg installed on other platforms, the only hurdle to overcome is to get swiglpk installed there first.

Quick example

Below is a small example taken from :ref:`whetting`:

from pymprog import *
begin('bike production')
x, y = var('x, y') # variables
maximize(15 * x + 10 * y, 'profit')
x <= 3 # mountain bike limit
y <= 4 # racer production limit
x + y <= 5 # metal finishing limit
solve()

Getting Help

There are several ways to get some help:

1. Project homepage: http://pymprog.sf.net/
2. Email list: https://lists.sourceforge.net/mailman/listinfo/pymprog-help
3. Forum: https://sourceforge.net/forum/forum.php?forum_id=942151

Contents:

Indices and tables

• :ref:`genindex`
• :ref:`search`