Here is the direct link to the notebook:
from the blog:
At the request of several commenters, here is a test script and benchmarks that we ran on PyPy and Anaconda Python (with Numba). The results are not tuned (I am not a PyPy expert!) so we did not post them in the blog. We’d be happy to look deeper into this with the PyPy developers. While PyPy is not currently installed on Wakari, we are looking at a number of ways we can install and support the PyPy community.
It'd be interesting to see a comparison to Matlab's JIT. Is Numba competitive?
The C was compiled with the same flags used to compile Python. In this case: -O2 -g.
I don't have access to a MATLAB license to compare, but I would love to see this comparison done. Let me know if you need any help putting it together.
Well this is interesting ;D
time python test.py
time pypy test.py
N = len(y)
x = y
for i in xrange(1,N):
x += y[i]
>>> x = list(range(100000000)) + ["break"]