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Luckily, Python >> R > Matlab, and the fight between R and Python is core to data science. Last I did any real investigation, R still had the edge in highly-the
by kuang_eleven 5y ago
Luckily, Python >> R > Matlab, and the fight between R and Python is core to data science. Last I did any real investigation, R still had the edge in highly-theoretical and new techniques, for whatever reason it was much more used by academics, but Python was eating R's lunch for non-academic data science.
- dragontamer 5y agoI've given SciPy a try, but its performance is grossly lower than R and Matlab in my experience. SciPy also seems to be missing plenty of things. You get pretty far (basic filter design seems easier in SciPy than Matlab), but Matlab has so many different mathematical fields in it that Matlab vs Python are just incomparable in terms of mathematical usability. Matlab has way more features. R is statistical-slant, so you have all sorts of distributions and statistical features. Matlab is general mathematics (but especially matricies). So you can grab say... Galois Fields between 2^2 through 2^16 and just start working with them immediately. Matlab itself is decently replicated by Octave (which is a great project), but it should be noted that Octave aims to be largely compatible with Matlab (so all of my complaints about how awful that programming language still applies).