PYTHON PROGRAM • PATTERNS & NUMBER PROBLEMS
Check an Armstrong Number in Python
Learn check an armstrong number in python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
Sample input
No input required
Sample output
True
COMPLETE PYTHON PROGRAM
Complete Python implementation
number = 153 digits = str(number) power = len(digits) print(sum(int(digit) ** power for digit in digits) == number)
CURRENT STEP
SELECTED LINE
EXPECTED OUTPUT FOR THE SAMPLE
True
Step 0 of 0
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to check an armstrong number.
- Process the data step by step using Generator expression and Number conversion.
- 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.
