experimental/cpu/: networkx-3.3 metadata and description
Python package for creating and manipulating graphs and networks
author_email | Aric Hagberg <hagberg@lanl.gov> |
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description_content_type | text/x-rst |
keywords | Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math |
maintainer_email | NetworkX Developers <networkx-discuss@googlegroups.com> |
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provides_extras | test |
requires_dist |
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requires_python | >=3.10 |
File | Tox results | History |
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networkx-3.3-py3-none-any.whl
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NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Website (including documentation): https://networkx.org
Mailing list: https://groups.google.com/forum/#!forum/networkx-discuss
Bug reports: https://github.com/networkx/networkx/issues
Report a security vulnerability: https://tidelift.com/security
Tutorial: https://networkx.org/documentation/latest/tutorial.html
GitHub Discussions: https://github.com/networkx/networkx/discussions
Simple example
Find the shortest path between two nodes in an undirected graph:
>>> import networkx as nx
>>> G = nx.Graph()
>>> G.add_edge("A", "B", weight=4)
>>> G.add_edge("B", "D", weight=2)
>>> G.add_edge("A", "C", weight=3)
>>> G.add_edge("C", "D", weight=4)
>>> nx.shortest_path(G, "A", "D", weight="weight")
['A', 'B', 'D']
Install
Install the latest version of NetworkX:
$ pip install networkx
Install with all optional dependencies:
$ pip install networkx[all]
For additional details, please see INSTALL.rst.
Bugs
Please report any bugs that you find here. Or, even better, fork the repository on GitHub and create a pull request (PR). We welcome all changes, big or small, and we will help you make the PR if you are new to git (just ask on the issue and/or see CONTRIBUTING.rst).
License
Released under the 3-Clause BSD license (see LICENSE.txt):
Copyright (C) 2004-2024 NetworkX Developers Aric Hagberg <hagberg@lanl.gov> Dan Schult <dschult@colgate.edu> Pieter Swart <swart@lanl.gov>