Optimization with PuLP

You can begin learning Python and using PuLP by looking at the content below. We recommend that you read The Optimisation Process, Optimisation Concepts, and the Introduction to Python before beginning the case-studies. For instructions for the installation of PuLP see Installing PuLP at Home.

The full PuLP function documentation is available, and useful functions will be explained in the case studies. The case studies are in order, so the later case studies will assume you have (at least) read the earlier case studies. However, we will provide links to any relevant information you will need.

Authors

The authors of this documentation (the pulp documentation team) include:

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PuLP documentation by Pulp documentation team is licensed under a Creative Commons Attribution-Share Alike 3.0 New Zealand License.