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Source: networkx
Maintainer: Debian OpenStack <team+openstack@tracker.debian.org>
Uploaders:
Thomas Goirand <zigo@debian.org>,
Section: python
Priority: optional
Build-Depends:
debhelper-compat (= 13),
dh-python,
latexmk,
openstack-pkg-tools,
pybuild-plugin-pyproject,
python3-all,
python3-contextily <!nodoc>,
python3-decorator,
python3-gdal,
python3-geopandas <!nodoc>,
python3-igraph <!nodoc>,
python3-ipykernel,
python3-libpysal <!nodoc>,
python3-matplotlib,
python3-momepy <!nodoc>,
python3-nb2plots <!nodoc>,
python3-nbformat,
python3-numpy <!nodoc>,
python3-numpydoc <!nodoc>,
python3-myst-nb <!nodoc>,
python3-osmnx <!nodoc>,
python3-pandas <!nodoc>,
python3-pydata-sphinx-theme <!nodoc>,
python3-pydot,
python3-pygraphviz,
python3-pytest,
python3-scipy,
python3-sklearn,
python3-seaborn <!nodoc>,
python3-setuptools,
python3-sphinx <!nodoc>,
python3-sphinx-gallery <!nodoc>,
python3-traitlets,
texlive-binaries,
texlive-fonts-recommended,
texlive-latex-base,
texlive-latex-extra,
texlive-latex-recommended,
texlive-plain-generic,
zip,
Standards-Version: 4.6.2.0
Vcs-Browser: https://salsa.debian.org/openstack-team/third-party/networkx
Vcs-Git: https://salsa.debian.org/openstack-team/third-party/networkx.git
Homepage: https://networkx.github.io/
Rules-Requires-Root: no
Package: python3-networkx
Architecture: all
Depends:
${misc:Depends},
${python3:Depends},
Recommends:
python3-gdal,
python3-matplotlib,
python3-numpy,
python3-pydot,
python3-pygraphviz,
python3-scipy,
python3-yaml,
Description: tool to create, manipulate and study complex networks (Python3)
NetworkX is a Python-based package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
.
The structure of a graph or network is encoded in the edges (connections,
links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
unqualified, by graph it's meant a simple undirected graph, i.e. no
self-loops and no multiple edges are allowed. By a network it's usually
meant a graph with weights (fields, properties) on nodes and/or edges.
.
The potential audience for NetworkX includes: mathematicians, physicists,
biologists, computer scientists, social scientists.
.
This package contains the Python 3 version of NetworkX.
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