python3-networkx_2.1-1_all.deb
Install the package
sudo apt-get install python3-networkx=2.1-1
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 | b274f1bac0b3f7bf88df97ea85689976 |
SHA1 | cf3d4c5256d902dec57ae267504a2fbe9f726e4b |
SHA256 | 9e592386168ec189f10761dcc7f6af97a7290904cf2680aa4eba0fc9b30bcdcd |
SHA512 | a0408e67c235c052031125d259527afcad791e0a8fc1a823e4ef3822b80b7cb96162e4860e6e3774226e7359e063edbadf968af84c45b4221dc9e8f44983608a |
Depends
- python3-decorator (>= 4.1.0), python3:any (>= 3.4~)
Suggests
- python-networkx-doc
Files
- /usr/share/doc/python3-networkx/copyright
- /usr/share/doc/python3-networkx/changelog.Debian.gz
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/requirements.txt
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/LICENSE.txt
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/subclass/plot_printgraph.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/subclass/plot_antigraph.py.gz
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/pygraphviz/write_dotfile.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/pygraphviz/pygraphviz_simple.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/pygraphviz/pygraphviz_draw.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/pygraphviz/pygraphviz_attributes.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/jit/plot_rgraph.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/javascript/force.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/words.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/words_dat.txt.gz
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/roget_dat.txt.gz
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_roget.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_napoleon_russian_campaign.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_karate_club.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_football.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_erdos_renyi.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/plot_degree_sequence.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/expected_degree_sequence.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/graph/atlas2.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/unix_email.mbox
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_weighted_graph.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_unix_email.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_spectral_grid.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_simple_path.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_sampson.py
- /usr/share/doc/networkx-2.2rc1.dev_20180221031415/examples/drawing/plot_random_geometric_graph.py
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