(often using optimized Fortran and C backends), these books are the standard "recipe" references today: Numerical Python (PDF) A comprehensive guide by Robert Johansson focusing on NumPy, SciPy, and Matplotlib Numerical Methods in Engineering with Python 3
: A fantastic open-source resource from UC Berkeley that covers everything from basic syntax to complex numerical analysis. SciPy Lecture Notes
: Many users have uploaded their personal translations of NR algorithms to Python, though quality and licensing vary. Why direct NR-to-Python ports are rare
If you need a textbook-style guide with Python implementations, these are the best modern alternatives: Numerical Methods in Engineering with Python 3