4 May
2018
4 May
'18
8:05 a.m.
Hello everyone, I’m faced with another design decision as I continue to develop pydata/sparse <https://github.com/pydata/sparse> (a package that offers N-dimensional sparse arrays compatible with Numpy). Namely, whether to 1. Convert to an appropriate sparse storage format before performing an operation vs implementing it natively, and 2. Whether to always return arrays in the input format. I’ve opened a parallel GitHub issue <https://github.com/pydata/sparse/issues/149> for discussion and feedback, and replies here are welcome as well. Regards, Hameer Abbasi Sent from Astro <https://www.helloastro.com> for Mac