Exploring Monte Carlo simulations has always intrigued me because of their real-world applications in areas like physics, finance, and artificial intelligence. And what better place to start than with estimating \(π\)? This seemingly abstract number, 3.14159…, holds a special place in mathematics and everyday life, and Monte Carlo simulations give us an intuitive, probability-based approach to approximate it. And here it is, the journey from the math to the code, with everything in between!