python-networkx 1.8.1-0ubuntu3 source package in Ubuntu

Changelog

python-networkx (1.8.1-0ubuntu3) trusty; urgency=medium

  * debian/rules: Ftbfs if the tests fail for python2.
  * debian/patches/python-3.4.patch: Fixes for python3.4
 -- Chuck Short <email address hidden>   Mon, 27 Jan 2014 10:03:52 -0500

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Uploaded by:
Chuck Short
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
graphics
Urgency:
Medium Urgency

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Builds

Trusty: [FULLYBUILT] i386

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File Size SHA-256 Checksum
python-networkx_1.8.1.orig.tar.gz 787.9 KiB b75ba675fd2831f60e3f5a028822a8f7b9993877854599e9694196f8b2f88233
python-networkx_1.8.1-0ubuntu3.debian.tar.gz 183.4 KiB 7d18a174050e2c924c7aaa02e79ac955ca1d831b5e57795ddca3688c41bfa0ab
python-networkx_1.8.1-0ubuntu3.dsc 1.8 KiB a9b9d1a122e81269eae5a594510c315da00b74ba53de125aff35734769233922

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Binary packages built by this source

python-networkx: 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.

python-networkx-doc: 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.

python3-networkx: 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.