numpy

Good NumPy code replaces Python loops with array semantics that are easier to optimize and easier to benchmark. Broadcasting is the feature that makes those transformations elegant. I rely on it for normalization, distance calculations, and matrix-fri

A lot of machine learning reduces to linear algebra with better tooling. Dot products, norms, matrix multiplication, and projections show up in recommendation, embeddings, PCA, and optimization. I keep the implementation small and testable so it stays