On 5 Jun 2014 02:57, "Nathaniel Smith" <n...@pobox.com> wrote: > > On Wed, Jun 4, 2014 at 7:18 AM, Travis Oliphant <tra...@continuum.io> wrote: > And numpy will be much harder to replace than numeric -- > numeric wasn't the most-imported package in the pythonverse ;-).
If numpy is really such a core part of python ecosystem, does it really make sense to keep it as a stand-alone package? Rather than thinking about a numpy 2, might it be better to be focusing on getting ndarray and dtype to a level of quality where acceptance upstream might be plausible? Matlab and python are no longer the only games in town for scientific computing anymore. I worry that the lack of a multidimensional array literals, not to mention the lack of built-in multidimensional arrays at all, can only hurt python's attractiveness compared to languages like Julia long-term. For people who already know and love python, this doesn't bother us much if at all. But thinking of attracting new users long-term, I worry that it will be harder to convince outsiders that python is really a first-class scientific computing language when it lacks the key data type for scientific computing.
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