Use the Python random module with real quantum random numbers from ANU. The default pseudo-random generator is replaced by calls to the ANU API.

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

SymPy is a Python library for symbolic algebra. It can interface with other Python libraries making it very powerful. On this page we demonstrate how to get started with SymPy by importing the library ...