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Chad Schuster of Milliman explains how Numba can convert parts of Python programs into optimized code through LLVM, while taking advantage of parallel processing and GPU units. The experiment demonstrates major performance gains, but also reveals limitations in object-oriented programming, type inference, and compilation time, making the selection of suitable parts for acceleration a critical factor.