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NetworkX ======== .. image:: https://img.shields.io/pypi/v/networkx.svg :target: https://pypi.org/project/networkx/ .. image:: https://img.shields.io/pypi/pyversions/networkx.svg :target: https://pypi.org/project/networkx/ .. image:: https://travis-ci.org/networkx/networkx.svg?branch=master :target: https://travis-ci.org/networkx/networkx .. image:: https://ci.appveyor.com/api/projects/status/github/networkx/networkx?branch=master&svg=true :target: https://ci.appveyor.com/project/dschult/networkx-pqott .. image:: https://codecov.io/gh/networkx/networkx/branch/master/graph/badge.svg :target: https://codecov.io/gh/networkx/networkx 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.github.io - **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss - **Source:** https://github.com/networkx/networkx - **Bug reports:** https://github.com/networkx/networkx/issues Simple example -------------- Find the shortest path between two nodes in an undirected graph: .. code:: python >>> 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) 2004-2020 NetworkX Developers Aric Hagberg Dan Schult Pieter Swart

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