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Monte Carlo methods are computational algorithms that rely on random sampling to obtain numerical results. They have diverse applications in physics, finance, engineering, and statistics. This article explores the basic idea behind Monte Carlo methods, their applications, steps in Monte Carlo simulation, advantages, limitations, and future developments.