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/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.descendants_at_distance.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_tree.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_successors.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_predecessors.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.traversal.beamsearch.bfs_beam_edges.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.score_sequence.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.random_tournament.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.is_tournament.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.is_strongly_connected.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.is_reachable.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.tournament.hamiltonian_path.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.threshold.is_threshold_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.threshold.find_threshold_graph.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.swap.double_edge_swap.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.swap.connected_double_edge_swap.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.structuralholes.local_constraint.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.structuralholes.effective_size.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.structuralholes.constraint.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.sparsifiers.spanner.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.smetric.s_metric.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.smallworld.sigma.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.smallworld.random_reference.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.smallworld.omega.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.smallworld.lattice_reference.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.simple_paths.shortest_simple_paths.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.simple_paths.is_simple_path.html
  • /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_paths.html

Uploaded

over 3 years ago

Package Size

9.46 MB

Installed Size

42 MB

Downloads

39

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Homepage

https://networkx.github.io/