Python Tutorial #13: Generators and Iterators — Lazy Data Processing
In the previous tutorial, we learned about file I/O. Now let’s learn about generators and iterators — tools for processing data lazily without loading everything into memory. A generator produces values one at a time. It only calculates the next value when you ask for it. This is called lazy evaluation. Instead of creating a list of one million items in memory, a generator produces them one by one. By the end of this tutorial, you will know how to create generators, build data pipelines, and use itertools for efficient data processing. ...