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python-networkx-doc_2.5_all.deb

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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)
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Files

  
    
      
  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/spectral.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/redundancy.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/projection.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/matrix.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/matching.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/generators.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/edgelist.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/covering.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/cluster.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/centrality.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/bipartite/basic.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/asteroidal.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/assortativity/pairs.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/assortativity/neighbor_degree.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/assortativity/mixing.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/assortativity/correlation.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/assortativity/connectivity.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/vertex_cover.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/treewidth.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/steinertree.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/ramsey.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/matching.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/kcomponents.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/independent_set.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/dominating_set.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/connectivity.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/clustering_coefficient.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/networkx/algorithms/approximation/clique.html
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  • /usr/share/doc/python-networkx-doc/html/_modules/index.html
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  • /usr/share/doc/python-networkx-doc/html/_images/tutorial-35.png
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Uploaded

  over 3 years ago




  

    
Package Size

    9.46 MB
  

    

      
Installed Size

      42 MB
    




          
          

  
Downloads

  

    

      
6

    

    
  




          

  
wget

  
wget --content-disposition "https://packagecloud.io/faucetsdn/faucet/packages/ubuntu/impish/python-networkx-doc_2.5_all.deb/download.deb?distro_version_id=235"




          
            

    
Homepage

    
      https://networkx.github.io/