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by tapan_pandita
4872 days ago
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Python has real good, battle tested and actively developed libraries for math, scientific computing and analytics. Most of these are written in C and hence give great performance in addition to the flexibility of python. Some great ones are: Numpy/Scipy, LAPACK, Pandas (lots more for machine learning as well). Also, I think the REPL is no match for IPython :). For your specific domain (math and analytics) python could be a great fit. Of course the lack of type systems and no compile step can be scary, but for a startup, which needs to move fast, python gives you the power of quick iteration. Just to round this off, from the zen of python: "practicality beats purity." |
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