Source: python-networkx Section: python Priority: optional Maintainer: Sandro Tosi Uploaders: Debian Python Modules Team , 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.