The code in this repository estimates the value of π by a Monte Carlo process described below.

We will use it as an example to measure, and later improve, the performance of Python code.

You can run the code with python calc_pi.py.

There are some options you can customise. See the help message (python calc_pi.py --help) or look at the code to see what those are.

In this approach, π is approximated in 3 steps:

• sampling n random points inside a square with side length 1,
• counting the number of those points that fall inside a circle,
• and multiplying that by 4/n

(Why this works is not particularly important for our purposes, but you may find it interesting to figure it out for yourself)