To find the maximum product of any subarray in Python, we can use an approach that tracks the maximum and minimum product at each index. This is done by considering both the current element and the product of the current element with the previous maximum and minimum. This ensures that the maximum product is updated at each step. The algorithm runs in linear time, making it efficient for large arrays. It avoids using nested loops and instead leverages simple comparisons to handle negative numbers and zeros.
For more details, check out the full article: Maximum Product Subarray.