While the documentation is a bit sparse (on the web, there are better docs buried in the source code), I found this library to be much easier to work with then

While the documentation is a bit sparse (on the web, there are better docs buried in the source code), I found this library to be much easier to work with then the alternatives - which are mostly from academia and have a heavy emphasis on matrix operations. There are still some rough edges, but I was able to get the Python bindings installed and used it to write an optimizer for fantasy basketball[1]. I think the domain of solving problems by defining the constraints is super interesting. In my fantasy basketball example, I define the constraints for a valid roster (simple), then define how to score a roster, and less than a second later, I've got the optimal picks. One other neat feature of this library is that you can use it directly from Google Sheets - you can read inputs from your spreadsheets, run the optimizer code (javascript) on Google's boxes, and then write output back to your spreadsheet. [1]: https://github.com/swanson/degenerate https://github.com/swanson/degenerate