PYTHON PROGRAM • PATTERNS & NUMBER PROBLEMS

Check an Armstrong Number in Python

Learn check an armstrong number in python with a short, executable Python example.

BeginnerGenerator expressionNumber conversion

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
True

COMPLETE PYTHON PROGRAM

Complete Python implementation

python-armstrong-number.py
Open in compiler
number = 153
digits = str(number)
power = len(digits)
print(sum(int(digit) ** power for digit in digits) == number)

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

True
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to check an armstrong number.
  2. Process the data step by step using Generator expression and Number conversion.
  3. Display the result for check an armstrong number and compare it with the documented sample output.

This example of check an armstrong number processes the sample values in a controlled iteration. It demonstrates Generator expression and Number conversion 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)

DEBUGGING CHECKLIST

Common mistakes

Check this

For check an armstrong number, keep the data shape and value types consistent with Generator expression.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final Generator expression and Number conversion 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.