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Just an issue to start on thoughts for a next survey. I know we already mentioned more in many other places, but I can't think of them right now, so hopefully we will just add things when we remember:
- "What sizes of arrays do you usually work with". We get a lot of "performance!" comments, but IMO, those are tricky, since while everyone can see that NumPy doesn't use multiple cores, there is no point in asking us to do that for mid-sized arrays.
- Rather than rank "importance" on issues such as Performance and Reliability (which is good), I think we should probably ask more directly if they think there is need to improve. And e.g. on the tradeoff between consistency/cleanup/new features vs. "stability".
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