I should add that I'm looking into the possibility of writing a Fortran -> RPython compiler in order to mechanically port many of the rest of the functions scipy and get them into the JIT.
j On Fri, Jan 20, 2012 at 7:16 AM, Joseph Perla <josephjavierpe...@gmail.com>wrote: > Hello everyone, > > I want to add functions to numpypy and also start making scipypy useful to > scientists. How do I commit my code? > > First, a little bit about myself: I have been following PyPy's development > for 5 years. I met Armin Rigo and other PyPy devs at EuroPython 2011 in > Florence this past year. I gave a talk about minimalist Python web > templates: weby templates. > > PyPy always seemed like a hugely complicated project far above my talents. > I look forward to finally contributing code myself. > > My goal: I am developing probabilistic models along the lines of Latent > Dirichlet Allocation for artificial intelligence applications. I love > Python, so I'm developing my models in Python. Unfortunately, it is slow. > Fortunately, my models are numerical calculation and loop heavy. It will > be easy to run my code on pypy once the numpy and scipy support is stronger. > > So, I downloaded the nightly build. It nearly works! It is missing a few > necessary functions: scipypy.special.gammaln, scipy.special.psi, > numpy.reshape, numpy.matrix, and the numpy.random module. > > So, I implemented gammaln and psi. It seems to be within 2x speed of the > Fortran77 code in scipy (it's hard to measure! how do i do this?). I > didn't see anywhere on the web about a scipypy project existing. I think I > want to start it now, and I want to contribute these functions. An > incomplete scipypy will be useful to a lot of people, and will encourage > more new developers to add to it. You probably have a plan about how you > want to integrate the original scipy code, but I think we should start > moving forward with whatever we have as soon as available. > > I also know I can implement much of the numpy.random module (as well as > matrix and reshape) easily once I know how to get the codebase and push > changes. I've been using Python and Numpy for years. > > Of course I'll use the original numpy code when it's pure python. > > I'm excited to submit, just please let me know how to do that. These > improvements will do a lot for machine learning research, I think. > j >
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