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This document discusses using Python and Amazon EC2 for parallel programming and clustering. It introduces ElasticWulf, which provides Amazon Machine Images preconfigured for clustering. It also covers MPI (message passing interface) basics in Python, including broadcasting, scattering, gathering, and reducing data across nodes. A demo is given of launching an ElasticWulf cluster on EC2, configuring it for MPI, and running a simple parallel pi calculation example using mpi4py.