To facilitate my research and perhaps help someone else out there, I develop a python package based around numerical ODE solvers (Runge-Kutta methods, multistep methods, etc.) as objects. The package is called nodepy, and has somewhat limited functionality. However, it contains a very nice implementation of rooted trees, including the ability to compute all the things necessary for deriving order conditions of general linear methods. It also has a lot of nice functionality for Runge-Kutta methods, including a lot of things related to low-storage methods and embedded methods.
As of today, the package is finally available on the PyPI server, and therefore can be installed using
easy_install nodepy
Hopefully this will encourage interested parties to try it out (or better yet, to contribute!)
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