34. NumPy for Performance

NumPy provides efficient array operations with vectorization.

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Example

import numpy as np

a = np.arange(1000000)
print(np.sum(a))

NumPy operations run in optimized C code.

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Wrap-Up

NumPy is essential for numerical computing and performance.