A fast implementation of trees from the mathematical theory of graphs
Inspired and applied in condensed matter physics, cellular biology and the World Wide Web.
Mathematical objects of the theory of graphs have one-to-one matrix representations, as described by the theory of linear algebra. In general, a graph is a network structure, whose off-diagonal terms in the matrix representation are known to Condensed Matter Physicists as hopping or interaction terms.
A particular graph, known as a tree, is a network with a hierarchical structure, which we use to index objects in their matrix representation.
The Tree is a Python subclass of a List, which adds the following attributes and methods:
A graph structure defines a matrix; a tree structure indexes the matrix.
The tree structure adds parents, children, ancestors, descendants and inheritance of attributes.
pip install --editable . --break-system-packages
python3 -m build
twine upload dist/*
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Fast implementation of trees from the mathematics of graphs
We found that Tree.Network demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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