Hi, Do you plan to consider trying to add PEP 574 / pickle5 support? There's an implementation ready (and a PyPI backport) that you can play with. https://www.python.org/dev/peps/pep-0574/ PEP 574 implicits targets Numpy arrays as one of its primary producers, since Numpy arrays is how large scientific or numerical data often ends up represented and where zero-copy is often desired by users. PEP 574 could certainly be useful even without Numpy arrays supporting it, but less so. So I would welcome any feedback on that front (and, given that I'd like PEP 574 to be accepted in time for Python 3.8, I'd ideally like to have that feedback sometimes in the forthcoming months ;-)). Best regards Antoine. On Thu, 31 May 2018 16:50:02 -0700 Matti Picus <matti.picus@gmail.com> wrote:
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