PyMathProg: easy GLPK in Python!

Welcome! PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via PyGLPK. Create, optimize, report, change and re-optimize your model with Python, which offers numerous handy goodies. Being embedded in Python, you can take advantage of the other good things available in python: such as easy database access, graphical presentation of your solution, statistical analysis, or use pymprog for artificial intelligence in games, etc.

More PyMathProg resources at

Getting Help

There are several ways to get some help:

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

Contents:

• How to Setup PyMathProg
  • How to setup on Windows
  • How to setup on Linux
  • How to setup on Mac OS X
• A Dive-in Tutorial on PyMathProg
  • A dive-in example
  • A parallel example
• More Advanced Examples
  • Re-optimize the assignment
  • Interaction with queens
  • The traveling sales man (TSP) problem
  • Zebra: using string as index
  • Magic numbers
  • Sudoku: want some AI?
  • Super Sudoku
• Working with variables
  • Creating variables
  • Setting bounds to variables
• Working with Indices
  • Natural indices
  • Combined indices
  • Use index with variables
  • Use index with parameters
• Working with Constraints
  • With a single comparison
  • With double comparisons
  • Ill-formed constraints
  • Conclusion
• Working with Solver Options
  • Setting and getting options
  • Deleting an option
  • Special options for the simplex method
  • Special options for the integer method
  • Options with a model instance

Indices and tables

• Index
• Search Page