The Secret Life of Python: The Lazy Baker

Python's memory issues often stem from creating massive lists that load everything into RAM at once. The yield keyword creates generators that produce items on-demand, storing only the recipe rather than all results. A million-item list consumes 8MB while an equivalent generator uses just 104 bytes, making it possible to process infinite datasets without memory crashes.