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operations on entire arrays without the need for explicit loops. This can significantly speed up computations. Here’s an example of vectorizing a loop using NumPy: import numpy as np # Slow loop-based approach result = [] for i in range(1000000): result.append(i * 2) # Fast vectorized approach arr