|
|
|
|
|
by zanellia
1677 days ago
|
|
No, that's not the timescale of interest, I would say. However, if the big chunk of computations is delegated to HPC libraries I would say that NumPy could be rather competitive there (although still not easy to embed). If instead you need to run many times the same piece of code where a large fraction is pure Python, of course, it would not change the picture with respect to the "small" computations scenario. |
|