Thanks for sharing your insights. If you are interested in contributing more benchmarks to help python compiler developers make performance optimizations based on semi-realistic usecases, please check out this github repo:
https://github.com/numfocus/python-benchmarks I think a python + numba and a cython implementation of an (averaged) perceptron algorithm would be very interesting. I share you conclusions: - numba (and similar JIT compilers such as parakeet) is a game changer for high performance Python dev - it's still too early to consider it as production replacement for cython (cryptic error messages, unsupported python constructs, API and design still evolving...) -- Olivier ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite! It's a free troubleshooting tool designed for production. Get down to code-level detail for bottlenecks, with <2% overhead. Download for free and get started troubleshooting in minutes. http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
