NumPy: arrays at speed

NumPy gives you arrays — typed, contiguous, blazing fast.

Why it matters

• Operations are vectorized — xs * xs runs in C, not Python.
• One million points: pure Python takes seconds. NumPy: milliseconds.

Pyodide magic

The first time you run import numpy, the worker auto-downloads NumPy from the CDN. After that, it's cached in your browser.

Try it

1. Bump the sample size to 5 million. Notice the run still finishes quickly.
2. Add a histogram: np.histogram(xs, bins=20) and print the counts.