5 Advanced Vectorisation Techniques for Improved Python Performance

Use NumPy to speed up your code.

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NumPy vectorisation applies a function to an entire array in one call. For example:

a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
u = np.sqrt(a)  # [1. 1.414 1.732]
v = a + b       # [5 7 9]