python-networkx 1.7-2 source package in Ubuntu

Changelog

python-networkx (1.7-2) experimental; urgency=low


  * debian/*_objects.inv
    - updated intersphinx mapping files
  * debian/rules
    - reorganize build and test targets
  * debian/{control, rules}
    - provide Python 3 package; Closes: #597422

 -- Sandro Tosi <email address hidden>  Tue, 28 Aug 2012 18:04:48 +0200

Upload details

Uploaded by:
Debian Python Modules Team
Uploaded to:
Experimental
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
python
Urgency:
Low Urgency

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Builds

Quantal: [FULLYBUILT] i386

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File Size SHA-256 Checksum
python-networkx_1.7-2.dsc 1.9 KiB 2e9dc6731c6583c720d718ff7aa2acd20a8161a79c456380ec8255ffd5eb78f8
python-networkx_1.7.orig.tar.gz 711.1 KiB eb62de98a0fa74aec9c31fffbac8089a703c6413601678f3fb1a0016bad2bdc1
python-networkx_1.7-2.debian.tar.gz 182.4 KiB 737b466cdc344467760eb9bfa65da33ff1510366d48b69670744fe8ae2fd5b89

Available diffs

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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: No summary available for python-networkx-doc in ubuntu saucy.

No description available for python-networkx-doc in ubuntu saucy.

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.