Monte Carlo simulation

Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. wikipedia
We simulate the area of $sin(x) \text{from} 0 \text{to} \pi$ that is given by $\int_{o}^{\pi} sin(x) = -cos(x) \Big|_0^{\pi} = 2$

We can approximate the area with the formula $(b-a) \frac{1}{N} \sum_{i=1}^{N} f(x_i)$ in our case $(b-a) \frac{1}{N} \sum_{i=1}^{N} sin(x_i)$

Try it live on

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Monte Carlo simulation for integral.ipynb		Monte Carlo simulation for integral.ipynb
README.md		README.md
requirements.txt		requirements.txt

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