APGL 0.7

It can create and modify user defined and/or random generated graphs, find shortest paths, and can write graphs to Pajek files for visualization.

Here are some key features of "APGL":

· Write to Pajek, and simple CSV files
· Some machine learning features - date preprocessing, kernels, wrappers for LibSVM, and some mlpy learning algorithms
· Unit tested using the Python unittest framework
· Directed, undirected and multigraphs designed under a hierarchical class structure
· Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations
· Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm
· Erdos-Renyi, Small-World and Albert-Barabasi random graphs