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NumPy works best for machine-native numerical types (int s, float s) rather than Python-native types (complex numbers, the Decimal type). How NumPy speeds array math in Python ...
The array type is useful in those cases, but in almost every pure-Python case you’ll want to use lists. For everyday work that would normally use a list, there’s no performance advantage to ...
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