Understanding Python Iterators and Generators in Depth(Python Core in Action 17)
Explore how Python’s `for in` statement works, dive deep into iterators, generators, and container types to optimize your code for better performance.
Welcome to the "Python Core in Action" Series
When you first started with Python, you might have written something like `for i in [2, 3, 5, 7, 11, 13]: print(i)`.
The `for in` statement in Python is straightforward and much simpler compared to the early `for (int i = 0; i < n; i++) printf("%d\n", a[i])` loops in C++ or Java.
But have you ever wondered what exactly happens in Python when a `for in` loop runs? What kinds of objects can be used with `for in`?
In this lesson, we'll dive into Python's container types and explore iterators and generators.
