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NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.
Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...
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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