Iterators are the hidden engine behind Python's most powerful loops, but most developers only scratch the surface of what they can do. By moving beyond basic for-loops and into the world of custom iterator protocols and itertools composition, you can write code that handles massive data streams with minimal memory overhead. The real challenge isn't just making it work—it's maintaining readability when your logic involves complex combinations of permutations and chains.
Jan 13, 2023