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On this page

  1. Example
  2. yield vs return
  3. yield from
  4. Sources
  1. Blog

What Does yield Do in Python? Generators Explained

Generators, lazily: what yield actually does to a function.

Aditya Challa·12 October 2026·1 min read

Summary

Disclosure

This post contains affiliate links. If you buy through them, I may earn a commission at no extra cost to you. I only make firsthand claims about products I have actually used.

On this page
  1. Example
  2. yield vs return
  3. yield from
  4. Sources

In Python, yield turns a function into a generator function: calling it returns a generator that produces values one at a time. Each yield hands back a value and pauses the function until the next value is requested.

Example

def countdown(n):
    while n > 0:
        yield n
        n -= 1

for x in countdown(3):
    print(x)  # 3, 2, 1

yield vs return

return ends the function and sends back one value. yield can produce many values over time and keeps local state between them, so you can process large data without building a full list in memory.

yield from

yield from other() delegates to another generator or iterable, added in Python 3.3 by PEP 380.

Related: /blog/how-to-check-if-a-file-exists-in-python

Related: /blog/are-python-dictionaries-ordered

Related: /blog/what-is-the-difference-between-is-and-equals-in-python

Sources

  • 01docs.python.org/3/reference/expressions.html
  • 02peps.python.org/pep-0380/
pythongeneratoryieldmemory managementprogrammingiterablepython 3

Lab evidence

What I found running this

Facts in this draft were checked on 12 Oct 2026 against the primary sources listed in the body (official docs, release schedules or Google/YouTube help pages). No benchmarks or timings were run, so the post makes no performance or measurement claims; dates are quoted as published by the maintainers, and any estimate is labelled as such.

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