Re: [Numpy-discussion] big-bangs versus incremental improvements (was: Re: SciPy 2014 BoF NumPy Participation)

On Thu, Jun 5, 2014 at 9:44 AM, Todd wrote:

On 5 Jun 2014 02:57, "Nathaniel Smith" wrote:

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On Wed, Jun 4, 2014 at 7:18 AM, Travis Oliphant

wrote:

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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?

There has been discussions about integrating numpy a long time ago (can't find a reference right now), and the consensus was that this was possible in its current shape nor advisable. The situation has not changed. Putting something in the stdlib means it basically cannot change anymore: API compatibility requirements would be stronger than what we provide even now. NumPy is also a large codebase which would need some major clean up to be accepted, etc... David