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I still prefer Matlab/Octave for numerical exploration, after initially being excited for Julia but later becoming disillusioned with it. I’ve always found Mat
by pavon 4y ago
I still prefer Matlab/Octave for numerical exploration, after initially being excited for Julia but later becoming disillusioned with it.
I’ve always found Matlab the language to be small and simple, with just a few oddities. The library is where most of the warts accumulated, but I’ve used it long enough to learn them. Performance is much better than python - very fast matrix operations and Java-like speeds for everything else, with comparable startup times.
- enriquto 4y agoOctave is almost the perfect tool for numerical computing. Only problem is that loops are slow. Some millionaire out here should pay a "stallion" to write a good JIT octave interpreter and the world would be such a better place!
- martopix 4y agoI always hear this "fast matrix operations" argument from Matlab users, but don't they both use BLAS? The difference can only be marginal