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Temporary fork of PuLP offering support for Python 3 while retaining compatibility with Python 2. PuLP is an LP modeler that can generate MPS or LPfiles and call GLPK, COIN CLP/CBC, CPLEX, and GUROBI to solve linear problems.

Project Description
# Copyright J.S. Roy (, 2003-2005
# Copyright Stuart A. Mitchell (
# Copyright Gerald Senarclens de Grancy (
# See the LICENSE file for copyright information.

Note: this fork will be removed once Stuart A. Mitchell finds the time to include the Python 3 compatibility in the original PuLP package.

PuLP is an LP modeler written in python. PuLP can generate MPS or LP files and call GLPK[1], COIN CLP/CBC[2], CPLEX[3], and GUROBI[4] to solve linear problems.

See the examples directory for examples.

PuLP requires Python >= 2.5.

The examples require at least a solver in your PATH or a shared library file.

Documentation is found on A comprehensive wiki can be found at

Use LpVariable() to create new variables. To create a variable 0 <= x <= 3 >>> x = LpVariable(“x”, 0, 3)

To create a variable 0 <= y <= 1 >>> y = LpVariable(“y”, 0, 1)

Use LpProblem() to create new problems. Create “myProblem” >>> prob = LpProblem(“myProblem”, LpMinimize)

Combine variables to create expressions and constraints and add them to the problem. >>> prob += x + y <= 2

If you add an expression (not a constraint), it will become the objective. >>> prob += -4*x + y

Choose a solver and solve the problem. ex: >>> status = prob.solve(GLPK(msg = 0))

Display the status of the solution >>> LpStatus[status] ‘Optimal’

You can get the value of the variables using value(). ex: >>> value(x) 2.0

Exported Classes:
  • LpProblem – Container class for a Linear programming problem
  • LpVariable – Variables that are added to constraints in the LP
  • LpConstraint – A constraint of the general form a1x1+a2x2 …anxn (<=, =, >=) b
  • LpConstraintVar – Used to construct a column of the model in column-wise modelling
Exported Functions:
  • value() – Finds the value of a variable or expression
  • lpSum() – given a list of the form [a1*x1, a2x2, …, anxn] will construct a linear expression to be used as a constraint or variable
  • lpDot() –given two lists of the form [a1, a2, …, an] and [ x1, x2, …, xn] will construct a linear epression to be used as a constraint or variable

Comments, bug reports, patches and suggestions are welcome.

References: [1] [2] [3] [4]

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