How do you optimize Python code?

First, profile to find bottlenecks. Then consider: using better algorithms or data structures, replacing hot loops with vectorized operations using NumPy, using built-in functions and comprehensions instead of manual loops, caching expensive results with functools.cache, and as a last resort, rewriting hot paths in C, Cython, or Rust.