python-networkx-doc_2.5_all.deb
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.core.k_crust.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.k_corona.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.k_core.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.core_number.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.stoerwagner.stoer_wagner.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.kcutsets.all_node_cuts.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.kcomponents.k_components.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_components.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.bridge_components.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_node_cut.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_edge_cut.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_node_cut.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_edge_cut.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_edge_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.edge_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.average_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components.html
Uploaded
over 3 years agoPackage Size
9.46 MBInstalled Size
42 MBDownloads
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