python-networkx-doc_2.5_all.deb

STEP 1: Have you installed this repository?

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

STEP 2: Install the package
sudo apt-get install python-networkx-doc=2.5

tool to create, manipulate and study complex networks - documentation

Full description:
  tool to create, manipulate and study complex networks - documentation
 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 documentation for NetworkX.

Checksums

MD5 3dffefe255dfa00571888186ad3f5ee8
SHA1 cbfa4148bf8dd518029d4cc363ebbe0f853785ae
SHA256 191f5ca49225eb895f7eb0cc1b0c3229b7904f807e00e508ee3cebf1e31984d8
SHA512 9f583c201c34a9e0bc11d621558ae06cb7d343870e9e6dddc5c2b323b830ec19224ff5a8c0f55c6d19bcb1c4053a9f45b8c4983aab280819eb674e37091e7c77

Depends

  • libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.1+dfsg)

Files

  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.intersection.general_random_intersection_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.internet_as_graphs.random_internet_as_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.harary_graph.hnm_harary_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.harary_graph.hkn_harary_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.waxman_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.thresholded_random_geometric_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.soft_random_geometric_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.random_geometric_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.navigable_small_world_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.geometric.geographical_threshold_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.expanders.paley_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.expanders.margulis_gabber_galil_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.expanders.chordal_cycle_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.ego.ego_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.duplication.partial_duplication_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.duplication.duplication_divergence_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.directed.scale_free_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.directed.random_k_out_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.directed.gnr_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.directed.gnc_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.directed.gn_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.random_degree_sequence_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.havel_hakimi_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.expected_degree_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.directed_havel_hakimi_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.directed_configuration_model.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.degree_sequence_tree.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.degree_seq.configuration_model.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.community.windmill_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.community.stochastic_block_model.html

Uploaded

over 3 years ago

Package Size

9.46 MB

Installed Size

42 MB

Downloads

6

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Homepage

https://networkx.github.io/