python-networkx_1.4-2~nd70+1_all.deb


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Description

python-networkx - tool to create, manipulate and study complex networks

Property Value
Distribution Debian 8 (Jessie)
Repository NeuroDebian Main i386
Package name python-networkx
Package version 1.4
Package release 2~nd70+1
Package architecture all
Package type deb
Installed size 2.61 KB
Download size 632.07 KB
Official Mirror neurodebian.ovgu.de
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.

Alternatives

Package Version Architecture Repository
python-networkx_1.9+dfsg1-1_all.deb 1.9+dfsg1 all Debian Main
python-networkx_1.9+dfsg1-1_all.deb 1.9+dfsg1 all Debian Main
python-networkx_1.4-2~nd70+1_all.deb 1.4 all NeuroDebian Main
python-networkx - - -

Requires

Name Value
neurodebian-popularity-contest -
python >= 2.6
python-support >= 0.90.0

Download

Type URL
Binary Package python-networkx_1.4-2~nd70+1_all.deb
Source Package python-networkx

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ jessie main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver pgp.mit.edu 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-networkx deb package:
    # sudo apt-get install python-networkx

See Also

Package Description
python-neuroshare-doc_0.9.2-1~nd80+1_all.deb Python interface and tools for Neuroshare
python-neuroshare_0.9.2-1~nd80+1_i386.deb Python interface and tools for Neuroshare
python-neurosynth_0.3-1~nd80+1_all.deb large-scale synthesis of functional neuroimaging data
python-nibabel-doc_2.3.1-1~nd80+1_all.deb documentation for NiBabel
python-nibabel_2.3.1-1~nd80+1_all.deb Python bindings to various neuroimaging data formats
python-nifti_0.20100607.1-4~nd70+1_i386.deb Python interface to the NIfTI I/O libraries
python-nilearn_0.2.5~dfsg.1-1~nd80+1_all.deb fast and easy statistical learning on neuroimaging data (Python 2)
python-nipy-doc_0.4.2-1~nd80+1_all.deb documentation and examples for NiPy
python-nipy-lib_0.4.2-1~nd80+1_i386.deb Analysis of structural and functional neuroimaging data
python-nipy_0.4.2-1~nd80+1_all.deb Analysis of structural and functional neuroimaging data
python-nipype-doc_0.11.0-1~nd80+1_all.deb Neuroimaging data analysis pipelines in Python -- documentation
python-nipype_0.11.0-1~nd80+1_all.deb Neuroimaging data analysis pipelines in Python
python-nitime-doc_0.7-1~nd80+1_all.deb timeseries analysis for neuroscience data (nitime) -- documentation
python-nitime_0.7-1~nd80+1_all.deb timeseries analysis for neuroscience data (nitime)
python-nlopt_2.4.1+dfsg-1~nd80+1_i386.deb nonlinear optimization library -- Python bindings
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