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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/share/doc/networkx-2.2rc1.dev_20180221031415/examples/3d_drawing/mayavi2_spring.py
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  • /usr/lib/python3/dist-packages/networkx/version.py
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  • /usr/lib/python3/dist-packages/networkx/utils/union_find.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_unionfind.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_rcm.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_random_sequence.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_misc.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_mapped_queue.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_heaps.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_decorators.py
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  • /usr/lib/python3/dist-packages/networkx/utils/tests/test_contextmanager.py
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  • /usr/lib/python3/dist-packages/networkx/utils/rcm.py
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  • /usr/lib/python3/dist-packages/networkx/utils/random_sequence.py
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  • /usr/lib/python3/dist-packages/networkx/utils/misc.py
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  • /usr/lib/python3/dist-packages/networkx/utils/mapped_queue.py
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  • /usr/lib/python3/dist-packages/networkx/utils/heaps.py
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  • /usr/lib/python3/dist-packages/networkx/utils/decorators.py
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  • /usr/lib/python3/dist-packages/networkx/utils/contextmanagers.py
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  • /usr/lib/python3/dist-packages/networkx/utils/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_relabel.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_exceptions.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_convert.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_convert_scipy.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_convert_pandas.py
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  • /usr/lib/python3/dist-packages/networkx/tests/test_convert_numpy.py
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  • /usr/lib/python3/dist-packages/networkx/tests/__init__.py
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  • /usr/lib/python3/dist-packages/networkx/testing/utils.py
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  • /usr/lib/python3/dist-packages/networkx/testing/tests/test_utils.py
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  • /usr/lib/python3/dist-packages/networkx/testing/__init__.py
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Uploaded

  about 7 years ago




  

    
Package Size

    945 KB
  

    

      
Installed Size

      4.37 MB
    




          
          

  
Downloads

  

    

      
23

    

    
  




          

  
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Homepage

    
      https://networkx.github.io/