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.operators.product.tensor_product.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.product.strong_product.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.product.rooted_product.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.product.power.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.product.lexicographic_product.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.product.cartesian_product.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.union.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.symmetric_difference.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.intersection.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.full_join.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.disjoint_union.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.difference.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.binary.compose.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.all.union_all.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.all.intersection_all.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.all.disjoint_union_all.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.operators.all.compose_all.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.non_randomness.non_randomness.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.node_classification.lgc.local_and_global_consistency.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.node_classification.hmn.harmonic_function.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.moral.moral_graph.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.mis.maximal_independent_set.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.minors.quotient_graph.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.minors.identified_nodes.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.minors.contracted_nodes.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.minors.contracted_edge.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.matching.maximal_matching.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.matching.max_weight_matching.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.matching.is_perfect_matching.html
/usr/share/doc/python-networkx-doc/html/reference/algorithms/generated/networkx.algorithms.matching.is_maximal_matching.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/