Given two arrays which are duplicates of each other except one element, that is one element from one of the array is missing, we need to find that missing element.

Examples:

Input: A = [1, 4, 5, 7, 9] B = [4, 5, 7, 9] Output: [1] 1 is missing from second array. Input: A = [2, 3, 4, 5 B = 2, 3, 4, 5, 6] Output: [6] 6 is missing from first array.

We have existing solution for this problem please refer Find lost element from a duplicated array. We can solve this problem quickly in python using Set difference logic. Approach is very simple, simply convert both lists in **Set** and perform **A-B** operation where len(A)>len(B).

`# Function to find lost element from a duplicate` `# array` ` ` `def` `lostElement(A,B):` ` ` ` ` `# convert lists into set` ` ` `A ` `=` `set` `(A)` ` ` `B ` `=` `set` `(B)` ` ` ` ` `# take difference of greater set with smaller` ` ` `if` `len` `(A) > ` `len` `(B):` ` ` `print` `(` `list` `(A` `-` `B))` ` ` `else` `:` ` ` `print` `(` `list` `(B` `-` `A))` ` ` `# Driver program` `if` `__name__ ` `=` `=` `"__main__"` `:` ` ` `A ` `=` `[` `1` `, ` `4` `, ` `5` `, ` `7` `, ` `9` `]` ` ` `B ` `=` `[` `4` `, ` `5` `, ` `7` `, ` `9` `]` ` ` `lostElement(A,B)` |

Output:

[1]

Attention geek! Strengthen your foundations with the **Python Programming Foundation** Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the **Python DS** Course. And to begin with your Machine Learning Journey, join the **Machine Learning – Basic Level Course**