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A path to multi(arbitrary)-precision, distributed scientific computation with Python3.

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Boris Daszuta https://kiwi.pycon.org/schedule/presentation/138/ On occasion scientific computations at double(quadruple) precision are simply not sufficient. In lieu of the usual NumPy and SciPy one can instead make use of mpmath or SymPy. For a 'large-scale' calculation one must appeal to parallelism and indeed distributed resources (eg. Dask-distributed). We describe a package that provides for library delegation based on calculation requirements at runtime.

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