Understanding Kadane's Algorithm using the Python Code shoe me code and output

Kadane's Algorithm is among the popular approaches used to solve the problem with the help of dynamic programming. As we already know, the maximum subarray problem is considered among the popular problems in the field of dynamic programming. We must be thinking that the problem appears to be simple, and the output of the problem will be the sum of all data elements in an array. However, this doesn't seem right. We will also come across negative integers as the data elements in the array that can decrease the sum of the whole array. Thus, we will take the help of Kadane's Algorithm to solve this problem.

Kadane's Algorithm is used to find the continuous subarray in the One-Dimensional integer array, which has the largest sum possible. After understanding the statement of the problem, the primary approach for everyone will be applying the brute-force approach and solving the problem. However, by performing so, the solution's time complexity will be O(n^2) which is not impressive at all. Hence, we will use Kadane's Algorithm to solve the problem by traversing over the entire array with the help of two variables to track the sum so far and maximum total. The most significant aspect of paying attention to while utilizing this Algorithm is the condition using which we will update both the variables.