Julia is a new statistical programming language that claims significantly better performance than competing languages. I'm trying to verify this. Julia has a performance test written in Python: https://github.com/JuliaLang/julia/blob/master/test/perf/perf.py
I can't get it to work with pypy. Perhaps this is due to numpypy incompatibilities with numpy, but I'm not getting far enough to determine that. I followed the ImportError advice "...or just write 'import numpypy' first in your program..." but I get another ImportError: "No module named numpy.linalg"
I have near zero experience with Python and I'm looking for a complete solution that I can run. The benefit of getting this to work is that we can we have a apples-to-apples (jit lang-to-jit lang) comparison.
Linalg is not implemented as of now. I think a new ffi and getting 1.9 out of the door (which require quite a few numpy fixes, see the bug tracker) are getting top priority. I don't think having linalg right now is that interesting. We would like to have more of numpy running first. I'm open to be convinced though. Arguments?