faucetsdn / faucet / ubuntu / bionic / 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/generated/networkx.generators.random_graphs.newman_watts_strogatz_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.gnp_random_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.gnm_random_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.fast_gnp_random_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.extended_barabasi_albert_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.erdos_renyi_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.dual_barabasi_albert_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.dense_gnm_random_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.connected_watts_strogatz_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.binomial_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_graphs.barabasi_albert_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.random_clustered.random_clustered_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.nonisomorphic_trees.nonisomorphic_trees.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.mycielski.mycielskian.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.mycielski.mycielski_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.line.line_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.line.inverse_line_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.lattice.triangular_lattice_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.lattice.hypercube_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.lattice.hexagonal_lattice_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.lattice.grid_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.lattice.grid_2d_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.joint_degree_seq.joint_degree_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.joint_degree_seq.is_valid_joint_degree.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.joint_degree_seq.is_valid_directed_joint_degree.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.joint_degree_seq.directed_joint_degree_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.interval_graph.interval_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.intersection.uniform_random_intersection_graph.html
/usr/share/doc/python-networkx-doc/html/reference/generated/networkx.generators.intersection.k_random_intersection_graph.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/ubuntu/bionic/python-networkx-doc_2.5_all.deb/download.deb?distro_version_id=190"

Homepage

https://networkx.github.io/