Five SciPy.stats Hacks to Supercharge What‑If Simulations
The article shows how to use SciPy.stats frozen distributions, vectorized sampling, custom random variable transformations, and other tricks to build fast, reproducible simulation pipelines with only NumPy and SciPy. These techniques let data scientists efficiently explore risk scenarios like demand spikes or cost changes without heavy simulation frameworks.