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= np.arange(1000000) result = arr * 2 The vectorized approach using NumPy is much faster than the loop-based approach. 3. Parallel Processing with multiprocessing Python’s multiprocessing module allows you to leverage multiple CPU cores to parallelize computations. This can provide significant