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NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.
There are many ways to boost Python application performance. Here are 10 hard-core coding tips for faster Python.
Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...
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