python-networkx 1.11-1ubuntu1 source package in Ubuntu


python-networkx (1.11-1ubuntu1) xenial; urgency=medium

  * Merge with Debian; remaining changes:
    - Don't build the -doc package; too many dependencies in universe.
    - Lower Recommends to Suggests for some universe packages.
    - Build-depend on python3-decorator.

python-networkx (1.11-1) unstable; urgency=medium

  * New upstream release

python-networkx (1.11~rc2-1) unstable; urgency=medium

  * New upstream release candidate
  * debian/copyright
    - update packaging copyright years

 -- Matthias Klose <email address hidden>  Mon, 21 Mar 2016 20:52:54 +0100

Upload details

Uploaded by:
Matthias Klose on 2016-03-21
Uploaded to:
Original maintainer:
Sandro Tosi
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2017-10-24 main graphics
Artful release on 2017-04-20 main graphics
Zesty release on 2016-10-18 main graphics
Xenial release on 2016-03-21 main graphics


Xenial: [FULLYBUILT] amd64


File Size SHA-256 Checksum
python-networkx_1.11.orig.tar.gz 1.3 MiB 0d0e70e10dfb47601cbb3425a00e03e2a2e97477be6f80638fef91d54dd1e4b8
python-networkx_1.11-1ubuntu1.debian.tar.xz 155.2 KiB 2f5b5f92bcada5b9d73313fca30d1151b5c84bc4999eaf8bc58b3fae8f1f47fc
python-networkx_1.11-1ubuntu1.dsc 2.4 KiB 8cb5f3332b27c260b8b854fd175939879c3817b4029e9b73bcd9cd95fe56b062

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Binary packages built by this source

python-networkx: No summary available for python-networkx in ubuntu yakkety.

No description available for python-networkx in ubuntu yakkety.

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.