I need to make a linear programming model. Here are the inequalities I\'m using (for example):
6x + 4y <= 24
x + 2y <= 6
-x + y <= 1
y <= 2
UPDATE: The answer has become somewhat outdated in the past 4 years, here is an update. You have many options:
If you do not have to do it Python then it is a lot more easier to do this in a modeling langage, see Any good tools to solve integer programs on linux?
I personally use Gurobi these days through its Python API. It is a commercial, closed-source product but free for academic research.
With PuLP you can create MPS and LP files and then solve them with GLPK, COIN CLP/CBC, CPLEX, or XPRESS through their command-line interface. This approach has its advantages and disadvantages.
The OR-Tools from Google is an open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.
Pyomo is a Python-based, open-source optimization modeling language with a diverse set of optimization capabilities.
SciPy offers linear programming: scipy.optimize.linprog. (I have never tried this one.)
Apparently, CVXOPT offers a Python interface to GLPK, I did not know that. I have been using GLPK for 8 years now and I can highly recommend GLPK. The examples and tutorial of CVXOPT seem really nice!
You can find other possibilites at in the Wikibook under GLPK/Python. Note that many of these are not necessarily resticted to GLPK.