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Hectal
Back to the lesson: Topic 9.2 — Generators and yield
Python · Example 3 of 3

A realistic generator: clean lines from a file

Counters are a toy. Real programs use generators to read big files one line at a time, cleaning each line as it goes. io.StringIO acts like an open file here, so no real file is needed. Notice that nothing is read until next() asks for it.

A generator function uses yield to hand back values one at a time and freezes in place between them. It writes an iterator in a few lines, keeps its own state, and can produce infinite streams without using memory.

Change the code and press Run (Ctrl+Enter). Predict what will happen first, then break it on purpose and read what changes. Your edits are saved and match the lesson page.

Ready for more? This phase has 6 hands-on exercises with automatic checks.

Practice questions

Write the code in the editor, run it, then open the model answer to compare.

01

Write a generator squares(n) that yields the squares of 1 up to n. Print list(squares(5)).

02

Write a generator countdown(n) that yields n, n-1, ... down to 1, then the text "liftoff". Print each value on its own line with a for loop.

03

Write a generator chunks_of_text(text, size) that yields the text in pieces of at most size characters, then print the pieces for "streaming" with size 4.

Explain it without notes

01

What happens when you call a generator function, and when does its body actually run?

02

How does a generator keep its state between values, and how is that different from an iterator class?

03

What is yield from for, and what does it do that a loop with yield does not?

04

Why can a generator describe an infinite sequence, and how do you use one safely?

05

What do return, raise StopIteration, close() and throw() each do inside or to a generator?

A realistic generator: clean lines from a file
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Expected output

nothing read yet: generator
alpha
beta
the rest: ['gamma']