faucetsdn / faucet / debian / bullseye / python3-networkx_2.5_all.deb

python3-networkx_2.5_all.deb

STEP 1: Have you installed this repository?

If not, run this installation script command:

curl -s https://packagecloud.io/install/repositories/faucetsdn/faucet/script.deb.sh | sudo bash

STEP 2: Install the package

sudo apt-get install python3-networkx=2.5

tool to create, manipulate and study complex networks (Python3)

Full 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.

Checksums

MD5	1fe00f44adbf2ea24ccffaca63526cb0
SHA1	0febf35a9cba2dcadf73266c4cc337f9c244d2a5
SHA256	22d7c5da0e5369dadee0331ccc1199fb9068419b7c91b8dd285a450bb4b5845c
SHA512	6f4a8f2bee939246864e9778a01330f8ed9a1ca6706d47ee1230fc6896a0f590cf833ed8656610dee30abc230849890aac732ae98c9c2cbacc4e4bde0b530dab

Depends

python3-pkg-resources, python3-decorator (>= 4.3.0), python3:any

Recommends

python3-gdal, python3-matplotlib, python3-numpy, python3-pydot, python3-pygraphviz, python3-scipy, python3-yaml

Suggests

python-networkx-doc

Breaks

androguard (<< 3.3.5-2~), python3-django-hyperkitty (<< 1.3.0-1.1~), python3-skimage (<< 0.16.2-1~)

Files

/usr/lib/python3/dist-packages/networkx/algorithms/components/biconnected.py
/usr/lib/python3/dist-packages/networkx/algorithms/components/attracting.py
/usr/lib/python3/dist-packages/networkx/algorithms/components/__init__.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_utils.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_quality.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_modularity_max.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_lukes.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_label_propagation.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_kernighan_lin.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_kclique.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_centrality.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_asyn_fluid.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/tests/__init__.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/quality.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/modularity_max.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/lukes.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/label_propagation.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/kernighan_lin.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/kclique.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/community_utils.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/centrality.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/asyn_fluid.py
/usr/lib/python3/dist-packages/networkx/algorithms/community/__init__.py
/usr/lib/python3/dist-packages/networkx/algorithms/communicability_alg.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/tests/test_coloring.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/tests/__init__.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/greedy_coloring.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/greedy_coloring_with_interchange.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/equitable_coloring.py
/usr/lib/python3/dist-packages/networkx/algorithms/coloring/__init__.py

Uploaded

over 3 years ago

Package Size

879 KB

Installed Size

4.78 MB

Downloads

wget

wget --content-disposition "https://packagecloud.io/faucetsdn/faucet/packages/debian/bullseye/python3-networkx_2.5_all.deb/download.deb?distro_version_id=207"

Homepage

https://networkx.github.io/