The answer
Like max, second_max should also be initialized to the lowest possible extreme, such as negative infinity or MIN_VALUE.
Understanding Variable Initialization (MIN_VALUE)
What should second_max be initialized to?
More FAQs in Understanding Variable Initialization (MIN_VALUE)
If the dataset contains only negative numbers, 0 will incorrectly be returned as the maximum, even though it doesn't exist in the data.
It is a constant representing the smallest possible value a 32-bit integer can hold (-2,147,483,648). It is the perfect starting point for finding maximums.
In Python, you should use float('-inf') to represent negative infinity, and float('inf') to represent positive infinity.
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