At the recent NumPy sprint at BIDS (thanks to those who made the trip)
we spent some time brainstorming about a roadmap for NumPy, in the
spirit of similar work that was done for Jupyter. The idea is that a
document with wide community acceptance can guide the work of the
full-time developer(s), and be a source of ideas for expanding
development efforts.
I put the document up at
https://github.com/numpy/numpy/wiki/NumPy-Roadmap, and hope to discuss
it at a BOF session during SciPy in the middle of July in Austin.
Eventually it could become a NEP or formalized in another way.
Matti
Some things I have seen mentioned but don't know the current plans for:
* Categorical arrays
* Releasing the GIL wherever possible
* Using multithreading internally
* making use of the next generation blas when available and stay involved in planning to make sure it supports our needs
* Figure out where to use Cython and were not to