How does NumPy optimize conditional expressions using where?

np.where uses vectorized selection to avoid Python branching and loops.

np.where evaluates conditions in a fully vectorized manner using ufunc-like internal loops. Instead of branching per element in Python, it selects values from arrays based on a boolean mask in C-level code. This ensures high performance and avoids interpreter overhead.