Python

I somehow came across this beautiful visualization of strange attractors written in Three.js. Then I remembered VisPy , a scientific visualization package in Python that I heard of in context of Vedo . We use Vedo for visualization at the Thousand Brains Project , so I decided to poke around the VisPy API and write some code without using LLM.1 ...

A personal field guide to choosing floating-point tolerances in NumPy tests, starting from machine epsilon and ending with a few habits for assert_allclose, Hypothesis, and near-zero vector operations.