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python3-networkx_2.1-1_all.deb

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STEP 2: Install the package

      
sudo apt-get install python3-networkx=2.1-1

  


        

      

            
tool to create, manipulate and study complex networks (Python3)


  
Full description:
  tool to create, manipulate and study complex networks (Python3)
 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 3 version of NetworkX.



        
          

            
Checksums

            

  
    

      
        MD5
      
      
        b274f1bac0b3f7bf88df97ea85689976
      
    

    

      
        SHA1
      
      
        cf3d4c5256d902dec57ae267504a2fbe9f726e4b
      
    

    

      
        SHA256
      
      
        9e592386168ec189f10761dcc7f6af97a7290904cf2680aa4eba0fc9b30bcdcd
      
    

    

      
        SHA512
      
      
        a0408e67c235c052031125d259527afcad791e0a8fc1a823e4ef3822b80b7cb96162e4860e6e3774226e7359e063edbadf968af84c45b4221dc9e8f44983608a
      
    

  



          

        




                

                  
Depends

                  
    
                    
  • python3-decorator (>= 4.1.0), python3:any (>= 3.4~)
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Suggests

                  
    
                    
  • python-networkx-doc
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Files

  
    
      
  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/tests/test_unweighted.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/tests/test_generic.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/tests/test_dense.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/tests/test_dense_numpy.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/tests/test_astar.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/generic.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/dense.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/astar.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/shortest_paths/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/richclub.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/reciprocity.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/unary.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/tests/test_unary.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/tests/test_product.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/tests/test_binary.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/tests/test_all.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/product.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/binary.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/all.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/operators/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/utils.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/tests/test_local_and_global_consistency.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/tests/test_harmonic_function.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/lgc.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/hmn.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/node_classification/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/mis.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/minors.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/matching.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/lowest_common_ancestors.py
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Uploaded

  about 7 years ago




  

    
Package Size

    945 KB
  

    

      
Installed Size

      4.37 MB
    




          
          

  
Downloads

  

    

      
39

    

    
  




          

  
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Homepage

    
      https://networkx.github.io/