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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
      
      
        b5f4b0c2d91f11443ef64ac88c3a22a2
      
    

    

      
        SHA1
      
      
        067eda6411c474ffe08b29053a49194d3e5ad36e
      
    

    

      
        SHA256
      
      
        584593d2ba93ce31a527d9391261bbace3b8bb6cdf8288faf2ace34a51988f84
      
    

    

      
        SHA512
      
      
        62557a65b01a0295068d001ec8229b19017a87ae09f83f15514e72fad6ad3cb0f2ea4fb3c81aa574ee8d1723cb7b1865163c6ddc5230ea51b428c7627cac5450
      
    

  



          

        




                

                  
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/connectivity/edge_kcomponents.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/connectivity/edge_augmentation.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/connectivity/disjoint_paths.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/connectivity/cuts.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/connectivity/connectivity.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/connectivity/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/weakly_connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_weakly_connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_subgraph_copies.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_strongly_connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_semiconnected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_biconnected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_attracting.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/strongly_connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/semiconnected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/connected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/biconnected.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/attracting.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/components/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_utils.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_quality.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_label_propagation.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_kernighan_lin.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_kclique.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_generators.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_centrality.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/tests/test_asyn_fluidc.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/quality.py
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  • /usr/lib/python3/dist-packages/networkx/algorithms/community/label_propagation.py
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Uploaded

  about 7 years ago




  

    
Package Size

    938 KB
  

    

      
Installed Size

      4.32 MB
    




          
          

  
Downloads

  

    

      
28

    

    
  




          

  
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Homepage

    
      https://networkx.github.io/