What is the primary benefit of vectorization when implementing Monte Carlo simulations in Python or R?

• A. It reduces code readability.
• B. It speeds up computations by applying operations to arrays rather than loops.
• C. It decreases numerical accuracy.
• D. It prevents reproducibility.

Answer: (B)