[Numpy-discussion] Notes from the numpy dev meeting at scipy 2015

[Stephan Hoyer]

>From my perspective, a major advantage to dtypes is composability. For
example, it's hard to write a library like dask.array (out of core arrays)
that can suppose holding any conceivable ndarray subclass (like MaskedArray
or quantity), but handling arbitrary dtypes is quite straightforward -- and
that dtype information can be directly passed on, without the container
library knowing anything about the library that implements the dtype.

Stephan
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20150903/5bf9ce88/attachment.html>