DataMining4Science/python-graph
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python-graph A library for working with graphs in Python -------------------------------------------------------------------------------- AUTHORS AND CONTRIBUTORS Pedro Matiello <[email protected]> * Project maintainer/leader; * Graph, Digraph and Hipergraph classes; * Accessibility algorithms; * Cut-node and cut-edge detection; * Cycle detection; * Depth-first and Breadth-first searching; * Minimal Spanning Tree (Prim's algorithm); * Random graph generation; * Topological sorting; * Traversals; * XML reading/writing; * Refactoring. Christian Muise <[email protected]> * Dot file reading/writing; * Hypergraph class; * Refactoring. Eugen Zagorodniy <[email protected]> * Mutual Accessibility (Tarjan's Algorithm). Johannes Reinhardt <[email protected]> * Refactoring. Nathan Davis <[email protected]> * Faster node insertion. Paul Harrison <[email protected]> * Mutual Accessibility (Tarjan's Algorithm). Rhys Ulerich <[email protected]> * Dijkstra's Shortest path algorithm. Roy Smith <[email protected]> * Heuristic Searching (A* algorithm). Salim Fadhley <[email protected]> * Porting of Roy Smith's A* implementation to python-graph; * Edmond Chow's heuristic for A*; * Refactoring. Tomaz Kovacic <[email protected]> * Transitive edge detection; * Critical path algorithm; * Logo design. Zsolt Haraszti <[email protected]> * Weighted random generated graphs. LICENSE This software is provided under the MIT license. See accompanying COPYING file for details. INSTALLING To install the core module, run: make install-core To install the dot language support, run: make install-dot DOCUMENTATION To generate the API documentation for this package, run: make docs You'll need epydoc installed in your system. WEBSITE The latest version of this package can be found at: http://code.google.com/p/python-graph/ Please report bugs at: http://code.google.com/p/python-graph/issues/list