3 ms·
Even with no speedup, the main benefit would be the ability to use pypy for the rest of the "supporting" python code.
by infinite8s 15y ago
Even with no speedup, the main benefit would be the ability to use pypy for the rest of the "supporting" python code.
- mathninja 15y agoExactly. Numpy is fast enough. Its the code calling it that is slow.
- wesm 15y agoNumPy is not fast enough, that's the problem (http://technicaldiscovery.blogspot.com/2011/07/speeding-up-python-again.html http://technicaldiscovery.blogspot.com/2011/07/speeding-up-p...). In scientific applications, the code calling it is rarely the bottleneck-- if it is you might be doing something wrong. The biggest bottlenecks I encounter are a) computation and b) data serialization / deserialization (especially if a database of some kind is involved)