The library is called RunningCalcs and is useful for running several calculations on a single iterable of values.
https://bitbucket.org/taleinat/runningcalcs/ http://pypi.python.org/pypi/RunningCalcs/ I'd like some input on how this could be made more useful and how to spread the word about it. The library contains the base RunningCalc class and implementations of sub-classes for common calculations: sum, min/max, average, variance & standard deviation, n-largest & n-smallest. Additionaly a utility function apply_in_parallel() is supplied which makes running several calculations on an iterable easy (and fast!). Straight-forward example: mean_rc, stddev_rc = RunningMean(), RunningStdDev() for x in values: mean_rc.feed(x) stddev_rc.feed(x) mean, stddev = mean_rc.value, stddev_rc.value Examples using apply_in_parallel(): mean, stddev = apply_in_parallel(values, [RunningMean(), RunningStdDev()]) five_smallest, five_largest = apply_in_parallel(values, [RunningNSmallest(5), RunningNLargest(5)]) Comments and suggestions would be highly appreciated! -- http://mail.python.org/mailman/listinfo/python-list
