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Alex Rivera
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Both list comprehensions and map-calculations should -- at least in theory -- be relatively easy to parallelize: each calculation inside a list-comprehension could be done independent of the calculation of all the other elements. For example in the expression [ x*x for x in range(1000) ] each x*x-Calculation could (at least in theory) be done in parallel. My question is: Is there any Python-Module / Python-Implementation / Python Programming-Trick to parallelize a list-comprehension calculation (in order to use all 16 / 32 / ... cores or distribute the calculation over a Computer-Grid or over a Cloud)?
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