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We present three Python software projects: PyTrilinos, for calling Trilinos distributed memory HPC solvers from Python; Optimized Distributed NumPy (ODIN), for distributed array computing; and Seamless, for automatic, Just-in-time compilation of Python source code. We argue that these three projects in combination provide a framework for high-performance computing in Python. They provide this framework by supplying necessary features (in the case of ODIN and Seamless) and algorithms (in thedoi:10.1109/sc.companion.2012.83 dblp:conf/sc/SmithSR12 fatcat:zdzxyjgupbez5dmvnpzfhylleq