This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
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]

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PuLP-py3-1.5.5.tar.gz (9.0 MB) Copy SHA256 Checksum SHA256 Source Oct 28, 2013

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting