Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.

A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix.

This gives steady state Network Flow from the given Pref-Defined Network Flow of a System. And a Python implementation of Larry Page's famous PageRank algorithm.