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Source: python-networkx
Section: python
Priority: optional
Maintainer: Sandro Tosi <morph@debian.org>
Uploaders: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>,
Build-Depends: debhelper (>= 9),
dh-python,
latexmk,
python-all,
python-setuptools,
python-sphinx,
python3-all,
python3-setuptools,
Build-Depends-Indep: dvipng,
python-ipykernel,
python-decorator (>= 4.3.0),
python3-decorator (>= 4.3.0),
python-gdal,
python-matplotlib,
python-nb2plots,
python-nbformat,
python-nbconvert,
python-nose,
python-numpy,
python-numpydoc,
python-pydot,
python-pygraphviz,
python-scipy,
python-sphinx-rtd-theme,
python-sphinx-gallery,
python-traitlets,
python3-gdal,
python3-matplotlib,
python3-nose,
python3-numpy,
python3-scipy,
python3-pygraphviz,
python3-pydot,
texlive-binaries,
texlive-fonts-recommended,
texlive-latex-base,
texlive-latex-extra,
texlive-latex-recommended,
texlive-generic-extra,
zip,
Standards-Version: 4.2.1
Homepage: http://networkx.github.io/
Vcs-Git: https://salsa.debian.org/python-team/modules/python-networkx.git
Vcs-Browser: https://salsa.debian.org/python-team/modules/python-networkx
Package: python-networkx
Architecture: all
Depends: ${misc:Depends},
${python:Depends},
python-pkg-resources,
Recommends: python-gdal,
python-matplotlib,
python-numpy,
python-pygraphviz | python-pydot,
python-scipy,
python-yaml,
Suggests: python-networkx-doc
Description: tool to create, manipulate and study complex networks
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.
Package: python3-networkx
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
python3-pkg-resources,
Recommends: python3-gdal,
python3-numpy,
python3-scipy,
python3-yaml,
Suggests: python-networkx-doc
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.
Package: python-networkx-doc
Section: doc
Architecture: all
Depends: libjs-mathjax,
${misc:Depends},
${sphinxdoc:Depends},
Description: tool to create, manipulate and study complex networks - documentation
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 documentation for NetworkX.
|
