PYTHON PROGRAM • FUNCTIONAL & ADVANCED PYTHON

Create a Generator Function in Python

Learn create a generator function in python with a short, executable Python example.

AdvancedyieldGenerator

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
[4, 3, 2, 1]

COMPLETE PYTHON PROGRAM

Complete Python implementation

python-generator-function.py
Open in compiler
def countdown(number):
    while number > 0:
        yield number
        number -= 1

print(list(countdown(4)))

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

[4, 3, 2, 1]
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to create a generator function.
  2. Process the data step by step using yield and Generator.
  3. Display the result for create a generator function and compare it with the documented sample output.

This example of create a generator function processes the sample values in a controlled iteration. It demonstrates yield and Generator and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(1) lazy; O(n) when materialized

DEBUGGING CHECKLIST

Common mistakes

Check this

For create a generator function, keep the data shape and value types consistent with yield.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final yield and Generator result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.