Metadata-Version: 2.1
Name: danker
Version: 0.5.1
Summary: Compute PageRank on large graphs with off-the-shelf hardware.
Home-page: https://github.com/athalhammer/danker
Author: Andreas Thalhammer
Author-email: andreas@thalhammer.bayern
License: UNKNOWN
Description: # danker - Compute PageRank on large graphs with off-the-shelf hardware.
         
        * Standalone with any input graph:
           ```
           $ pip install danker
           $ python -m danker -h
             usage: python -m danker [-h]
                                     left_sorted [right_sorted] damping iterations
                                     start_value
        
             danker - Compute PageRank on large graphs with off-the-shelf hardware.
        
             positional arguments:
               left_sorted   A two-column, tab-separated file sorted by the left column.
               right_sorted  The same file as left_sorted but sorted by the right column.
               damping       PageRank damping factor(between 0 and 1).
               iterations    Number of PageRank iterations (>0).
               start_value   PageRank starting value(>0).
        
             optional arguments:
               -h, --help    show this help message and exit
        
           $ wget https://raw.githubusercontent.com/athalhammer/danker/master/test/graphs/test.links
           $ python -m danker test.links 0.85 30 1
              1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.
              Computation of PageRank on 'test.links' with danker took 0.00 seconds.
              C	3.1898535044738043
              B	3.5572213415705725
              A	0.30410528185694391
              D	0.36260066319290651
              F	0.36260066319290651
              E	0.75035528185694389
              G	0.15000000000000002
              H	0.15000000000000002
              I	0.15000000000000002
              K	0.15000000000000002
              L	0.15000000000000002
           ```
        
        * As Python library for computing PageRank on large graphs:
           ```
           $ pip install danker
           $ python
           >>> import danker
           ```
           More information on this option can be found at https://danker.rtfd.org.
        
        More information on the project: [Compute PageRank on the Wikipedia graph](https://github.com/athalhammer/danker)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.5
Description-Content-Type: text/markdown
