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.approximation.dominating_set.min_edge_dominating_set.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.connectivity.node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.connectivity.local_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.clustering_coefficient.average_clustering.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.clique.max_clique.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.clique.large_clique_size.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.approximation.clique.clique_removal.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/flow.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/euler.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/efficiency_measures.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/dominating.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/dominance.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/distance_regular.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/distance_measures.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/dag.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/d_separation.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/cycles.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/cuts.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/covering.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/core.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/connectivity.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/component.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/community.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/communicability_alg.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/coloring.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/clustering.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/clique.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/chordal.html
- /usr/share/doc/python-networkx-doc/html/reference/algorithms/chains.html
Uploaded
over 3 years agoPackage Size
9.46 MBInstalled Size
42 MBDownloads
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