NumPyPy progress report - running benchmarks
An important thing to notice is the data dependency of the inline version causes a huge slowdown for the C versions. This is not a severe disadvantage for us though -- the brain-dead Python version takes longer and PyPy is not able to take advantage of the knowledge that the data is independent. The results are in the same ballpark as the C versions -- 15% - 170% slower, but the algorithm one choo
Plotting using matplotlib from PyPy
Big fat warning This is just a proof of concept. It barely works. There are missing pieces left and right, which were replaced with hacks so I can get this to run and prove it's possible. Don't try this at home, especially your home. You have been warned. There has been a lot of talking about PyPy not integrating well with the current scientific Python ecosystem, and numpypy (a NumPy reimplementat
Thoughts on porting NumPy to PyPy
Last weekend, I attended GitHub's PyCodeConf in Miami Florida and had the opportunity to give a talk on array-oriented computing and Python. I would like to thank Tom and Chris (GitHub founders) for allowing me to come speak. I enjoyed my time there, but I have to admit I felt old and a bit out of place. There were a lot of young people there who understood a lot more about making web-pages an
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