python-networkx
%description
NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics,
and functions of complex networks.
Features:
* Includes standard graph-theoretic and statistical physics functions
* Easy exchange of network algorithms between applications, disciplines, and platforms
* Includes many classic graphs and synthetic networks
* Nodes and edges can be "anything" (e.g. time-series, text, images, XML records)
* Exploits existing code from high-quality legacy software in C, C++, Fortran, etc.
* Open source (encourages community input)
* Unit-tested
- Devel package for openSUSE:Factory
-
5
derived packages
- Links to openSUSE:Factory / python-networkx
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osc -A https://api.opensuse.org checkout devel:languages:python:numeric/python-networkx && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
networkx-3.3.tar.gz | 0002126579 2.03 MB | |
python-networkx.changes | 0000048964 47.8 KB | |
python-networkx.spec | 0000003937 3.84 KB |
Revision 58 (latest revision is 59)
Dirk Mueller (dirkmueller)
accepted
request 1169974
from
Markéta Machová (mcalabkova)
(revision 58)
- Update to 3.3 * Add @nx._dispatch decorator to most algorithms * Remove topo_order kwarg from is_semiconnected without deprecation * API: Add a decorator to deprecate positional args * Drop support for Python 3.8 and 3.9 * Support Python 3.12 * Test on Python 3.13-dev * Don't test numpy2 nightlies * Unpin scipy upperbound for tests * Disallow negative number of nodes in complete_multipartite_graph * [A-star] Added expansion pruning via cutoff if cutoff is provided * Add Tadpole graph * [Feat] Random expanders utilities * Add Kirchhoff index / Effective graph resistance * Changed return types of shortest path methods to improve consistency * Many more changes, see upstream changelog - drop doc build, PyPI tarball doesn't support it anymore
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