python program to check if the number is armstrong or not
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in the world of mathematics and programming, an armstrong number (also known as a narcissistic number or pluperfect number) is an interesting concept. it's a number that is equal to the sum of its own digits, each raised to the power of the number of digits. for instance, 153 is an armstrong number because
1
3
+5
3
+3
3
=153.
this tutorial will walk you through how to create a python program that checks whether a given number is an armstrong number or not.
to better understand armstrong numbers, let's break down how they work. consider a 3-digit number, say xyz, where x, y, and z are its digits. for the number to be an armstrong number:
for example, take 370:
since the sum of the cubes of its digits equals the original number, 370 is an armstrong number.
here’s a step-by-step guide to creating a python program that checks if a number is an armstrong number:
input the number: the first step in the program is to take a number as input from the user. this number can be of any length.
calculate the number of digits: to calculate an armstrong number, you need to determine how many digits the number has. this is because each digit needs to be raised to the power of the total number of digits.
extract and process each digit: once you know the number of digits, you need to extract each digit from the number and raise it to the power of the number of digits.
sum the powered digits: after extracting and raising each digit to the required power, sum these powered digits together.
compare the sum with the original number: the final step is to compare the sum of these powered digits with the original number. if they are equal, the number is an armstrong number; otherwise, it is not.
armstrong numbers are more of a mathematical curiosity and are often used as an exercise in programming to help understand loops, conditionals, and number manipulation. they are commonly found in coding interviews and competitive programming challenges.
checking for an armstrong number is a simple y ...
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