
One little point here:
* np.ndarray.cumprod: low importance -> prefer np.multiply.accumulate
I think that's and example of something that *should* be part of the numpy API, but should be implemented as a mixin, based on np.multiply.accumulate. As I'm a still confused about the goal here, that means that: Users should still use `.cumprod`, but implementers of numpy-like packages should implement `.multiply.accumulate`, and not directly `cumprod`, but rather use the numpy ABC, or however it is implemented. -CHB -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chris.Barker@noaa.gov