Wrote a new library - Comments and suggestions please!

[Tal Einat]

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!