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What is a Palindrome Number and How to Check for It?

A palindrome number is a fascinating concept that often surfaces in tech interviews, coding challenges, and algorithmic problems. Simply put, a palindrome number is a number that reads the same backward as it does forward. For example, the numbers 121 and 12321 are palindromes, whereas 123 and 124 are not.

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Published onFebruary 19, 2025
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What is a Palindrome Number and How to Check for It?

A palindrome number is a fascinating concept that often surfaces in tech interviews, coding challenges, and algorithmic problems. Simply put, a palindrome number is a number that reads the same backward as it does forward. For example, the numbers 121 and 12321 are palindromes, whereas 123 and 124 are not.

Understanding how to identify a palindrome number is key, as it can help demonstrate problem-solving skills and logical thinking during coding interviews.

Checking for a Palindrome Number

To check if a number is a palindrome, you can use a straightforward approach in various programming languages. The fundamental idea is to convert the number to a string, reverse the string, and compare it to the original string. If both are identical, then the number is a palindrome.

Here’s how you can implement this in Python:

Python

In this function, str(num) converts the number to a string. The slicing operation num_str[::-1] reverses the string. The function returns True if both strings match, indicating that the number is a palindrome.

Alternative Approaches

You may also encounter different ways to check for palindrome numbers that do not require converting to strings. For instance, you can reverse the digits mathematically. This method avoids the overhead of string manipulation.

Here is a simple version of that approach using Python:

Python

In this approach, a loop is used to extract the last digit of the number and build a new reversed number. The original_num is compared with reversed_num to check for palindromic properties. Negative numbers are immediately ruled out, as they cannot be palindromes.

Complexity Analysis

Both solutions have an efficient time complexity of O(log10(n)), where n is the number being checked. This is because the number of digits in a number n is roughly log10(n). Meanwhile, the space complexity for the string conversion method is O(d), where d is the number of digits, due to the storage of the string representation and its reverse.

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