faucetsdn / faucet / debian / bullseye / python-networkx-doc_2.5_all.deb

python-networkx-doc_2.5_all.deb

STEP 1: Have you installed this repository?

If not, run this installation script command:

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.dag.transitive_closure_dag.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.topological_sort.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.lexicographical_topological_sort.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.is_directed_acyclic_graph.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.is_aperiodic.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.descendants.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.dag_to_branching.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path_length.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.antichains.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.ancestors.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.dag.all_topological_sorts.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.d_separation.d_separated.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cycles.simple_cycles.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cycles.minimum_cycle_basis.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cycles.find_cycle.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cycles.cycle_basis.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.volume.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.normalized_cut_size.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.node_expansion.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.mixing_expansion.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.edge_expansion.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.cut_size.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.conductance.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.cuts.boundary_expansion.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.covering.min_edge_cover.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.covering.is_edge_cover.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.onion_layers.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.k_truss.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.core.k_shell.html

Uploaded

over 3 years ago

Package Size

9.46 MB

Installed Size

42 MB

Downloads

wget

wget --content-disposition "https://packagecloud.io/faucetsdn/faucet/packages/debian/bullseye/python-networkx-doc_2.5_all.deb/download.deb?distro_version_id=207"

Homepage

https://networkx.github.io/