Last Updated: December 6, 2025
In the world of Python, generators are like the secret sauce that can make your code not only more readable but also significantly more efficient. Imagine you’re dealing with a massive dataset: reading it all into memory at once can be a balancing act of performance and resource usage.
What if I told you there's a way to handle this data without that heavy lifting? Enter generators.
Generators allow you to iterate through a sequence of values one at a time, making them incredibly useful for managing large datasets, streams of data, or any scenario where you want a lazy evaluation—only processing items as needed.
This chapter dives deep into the world of generators, building upon your knowledge of custom iterators and exploring their unique capabilities.