python-networkx_2.1-1_all.deb
Install the package
sudo apt-get install python-networkx=2.1-1
tool to create, manipulate and study complex networks (Python2)
Full description: tool to create, manipulate and study complex networks (Python2) 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 the Python 2 version of NetworkX.
Checksums
MD5 | 03c7b3b3e46730e94d79d5e1178795f9 |
SHA1 | 1124dc385766d1ad2cb46a84662c32bba8e37523 |
SHA256 | 059c90cf36d718add8a44caac212dd8de87e0cc5d566f7c5bdd6d8e9fdbad02b |
SHA512 | 6ffd9f59647449e2e04d49ac154097b1d6647601d329c0013b8895d09aff66d80dd4497ea2821f2ea5c591e3c9c222d5fade3602e1ff4ea425c329332931306c |
Depends
- python3-decorator (>= 4.1.0), python-decorator, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Suggests
- python-networkx-doc
Files
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/mincost.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/maxflow.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/gomory_hu.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/edmondskarp.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/dinitz_alg.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/capacityscaling.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/boykovkolmogorov.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/flow/__init__.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/euler.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/efficiency.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/dominating.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/dominance.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/distance_regular.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/distance_measures.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/dag.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/cycles.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/cuts.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/covering.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/core.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/utils.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_stoer_wagner.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_kcutsets.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_kcomponents.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_edge_kcomponents.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_edge_augmentation.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_disjoint_paths.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_cuts.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/tests/test_connectivity.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/stoerwagner.py
- /usr/lib/python2.7/dist-packages/networkx/algorithms/connectivity/kcutsets.py
Uploaded
about 7 years agoPackage Size
938 KBInstalled Size
4.32 MBDownloads
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