hi. thanks for ur responses .. so it looks like python/numpy is used more for gluing things together or doing things like postprocessing. is anyone using it for core calculations .. as in long running python calculations? i used numpy myself for some nonlinear dynamics and chaos related calculations but they were usually very short running only for a few seconds at a time.
thanks, rahul On Nov 17, 2007 8:28 AM, Steve Lianoglou <[EMAIL PROTECTED]> wrote: > Hi Rahul, > > > a) Can you guys tell me briefly about the kind of problems you are > > tackling with numpy and scipy? > > I'm a grad student "doing" computational biology. I primarily use the > NumPy/SciPy/matplotlib triumvirate as a post processing tool to > analyze what the heck happened after we run some learning algorithms > we develop (or canned ones, like libsvm (for example)) to look for > some sense in the results. > > I've been working w/ analyzing interaction networks/graphs, so I also > use NetworkX[1] quite a bit as well (it's also a nice package w/ > responsive authors). > > Many of the folks (in my lab, and collaborators) like to use MATLAB, > so I've found scipy's io.loadmat invaluable for making this a bit more > seamless. > > So, in general, for me (so far) numpy/scipy are generally used to > integrate various datasets together and see if things "look > kosher" (before runs and after runs). > > > b) Have you ever felt that numpy/scipy was slow and had to switch to > > C/C++/Fortran? > > Yes, for things like boosting, svm, graph mining, etc ... but that's > no real surprise since their iterative and need to run on large > datasets. > > You should also note that there are python interfaces to these things > out there as well, but I (thus far) haven't taken much of advantage of > those and usually pipe out data into the expected text input formats > and pull them back in when the algo is done. > > > c) Do you use any form of parallel processing? Multicores? SMPs? > > Clusters? If yes how did u utilize them? > > I'd really like to (not just for Python), but I haven't. > > -steve > > [1] NetworkX: https://networkx.lanl.gov/wiki > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
