Source: python-networkx
Section: python
Priority: optional
Maintainer: Debian Python Modules Team
Uploaders: Sandro Tosi
Build-Depends: debhelper (>= 7.0.50~)
Build-Depends-Indep: dh-python,
dvipng,
python-all (>= 2.3.5-11),
python-decorator (>= 3.4.0),
python-matplotlib,
python-nose (>= 0.10.1),
python-numpy,
python-numpydoc,
python-pygraphviz,
python-scipy,
python-setuptools (>= 0.6a9),
python-sphinx (>= 1.0.7+dfsg),
python3-all,
python3-nose,
python3-scipy,
python3-setuptools,
texlive-binaries,
texlive-fonts-recommended,
texlive-latex-base,
texlive-latex-extra,
texlive-latex-recommended,
zip
Standards-Version: 3.9.5
Homepage: http://networkx.lanl.gov/
Vcs-Svn: svn://anonscm.debian.org/python-modules/packages/python-networkx/trunk/
Vcs-Browser: http://anonscm.debian.org/viewvc/python-modules/packages/python-networkx/trunk/
Package: python-networkx
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}
Recommends: python-matplotlib,
python-numpy,
python-pkg-resources,
python-pygraphviz | python-pydot,
python-scipy,
python-yaml
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}
Recommends: python3-numpy, python3-pkg-resources, 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.
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.