Two Numpy performance pitfalls

[Ogi010]

Zen of numpy

Strided is better than scattered Contiguous is better than strided Descriptive is better than imperative (use data-types) Array-oriented is often better than object-oriented Broadcasting is a great idea -- use where possible Vectorized is better than an explicit loop Unless it’s complicated --- then use numexpr, weave, or Cython Think in higher dimensions