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


Boris Daszuta 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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