Nashpy is:

• An excellently documented library:
  • The Nashpy game theory text book aims to be a course text on the background theory.
  • The contributor documentation aims to be a text on research software development and help first time open source software contributions.
• A state of the art developed code base which aims to use the best of available tools to ensure the code is correct, readable and robust.
• Feature rich, the following are implemented:
  • Support enumeration How to docs 🐍 - Theory docs 📘
  • Vertex enumeration How to docs 🐍 - Theory docs 📘
  • Lemke-Howson algorithm How to docs 🐍 - Theory docs 📘
  • Fictitious play How to docs 🐍 - Theory docs 📘
  • Stochastic fictitious play How to docs 🐍 - Theory docs 📘
  • Replicator dynamics How to docs 🐍 - Theory docs 📘
  • Replicator-mutation dynamics How to docs 🐍 - Theory docs 📘
  • Asymmetric replicator dynamics How to docs 🐍 - Theory docs 📘
  • Moran processes How to docs 🐍
  • Generate games from repeated games How to docs 🐍 - Theory docs 📘
  • Moran processes on interaction graphs How to docs 🐍
  • Moran processes on replication graphs How to docs 🐍

Full documentation is available here: http://nashpy.readthedocs.io/

$ python -m pip install nashpy

To install Nashpy on Fedora, use:

$ dnf install python3-nashpy

Create bi matrix games by passing two 2 dimensional arrays/lists:

>>> import nashpy as nash
>>> A = [[1, 2], [3, 0]]
>>> B = [[0, 2], [3, 1]]
>>> game = nash.Game(A, B)
>>> for eq in game.support_enumeration():
...     print(eq)
(array([1., 0.]), array([0., 1.]))
(array([0., 1.]), array([1., 0.]))
(array([0.5, 0.5]), array([0.5, 0.5]))
>>> game[[0, 1], [1, 0]]
array([3, 3])

• Gambit is a library with a python api and support for more algorithms and more than 2 player games.
• Game theory explorer a web interface to gambit useful for teaching.
• Axelrod a research library aimed at the study of the Iterated Prisoners dilemma

Clone the repository and create a virtual environment:

$ git clone https://github.com/drvinceknight/nashpy.git
$ cd nashpy
$ python -m venv env

Activate the virtual environment and install tox:

$ source env/bin/activate
$ python -m pip install tox

Make modifications.

To run the tests:

$ python -m tox

To build the documentation. First install the software which also installs the documentation build requirements.

$ python -m pip install flit
$ python -m flit install --symlink

Then:

$ cd docs
$ make html

Full contribution documentation is available at https://nashpy.readthedocs.io/en/latest/contributing/index.html

Pull requests are welcome.

In the interest of fostering an open and welcoming environment, all contributors, maintainers and users are expected to abide by the Python code of conduct: https://www.python.org/psf/codeofconduct/