## Instructions

Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.

A subarray is a contiguous part of an array.

### Example

Input: nums = [-2,1,-3,4,-1,2,1,-5,4]

Output: 6

Explanation: [4,-1,2,1] has the largest sum = 6.

## Approach

We can initialize maximum sum at index 0 and update it as we iterate through the array when we find a new maximum.

We also initialize a current sum at index 0 and update it by adding num at current index. We also compare if current sum is greater than num at current index and update it. We then compare if the current sum is greater than maximum sum and update maximum sum.

## Python Implementation

```
def maxSubArray(nums):
if not nums:
return 0
currSum = maxSum = nums[0]
for i in range(1,len(nums)):
currSum += nums[i]
currSum = max(currSum, nums[i])
maxSum = max(maxSum, currSum)
return maxSum
```

The space complexity is O(1) because we do not use an extra memory and the time complexity is O(n) because we have to go through each element in the array.

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