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PYTHON ADVANCEDChapter 9 · Python Advanced

Generators and Yield

A generator function yields values one by one using the yield keyword. It pauses execution after each yield, saving memory.

Worked example

How it reads

  • yield count returns a value and pauses the function state
  • for number in ... calls next() implicitly to retrieve values
Cloud tip: Generators are perfect for looping over very large datasets or files that don't fit in memory.
main.py
PYTHON
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YOUR TURN

Write a generator count_to(n) that yields 1 up to n, and print list(count_to(4)): [1, 2, 3, 4].

Press Run to check your work.
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