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Maximum Subarray Sum using Divide and Conquer algorithm | Find the maximum possible sum in arr [ ] auch that arr [ m ] is part of it.
Include elements on left of mid ..
Include elements on right of mid.
Return sum of elements on left and right of mid returning only left_sum + right_sum will fail for [ - 2 , 1 ].
Returns sum of maximum sum subarray in aa [ l . . h ].
Base Case : Only one element.
Find middle point.
Return maximum of following three possible cases a ) Maximum subarray sum in left half b ) Maximum subarray sum in right half c ) Maximum subarray sum such that the subarray crosses the midpoint.
Driver Code"
Solution in Python:

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Give me a code to maximum Subarray Sum using Divide and Conquer algorithm and the other steps required?
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#Here is code to maximum Subarray Sum using Divide and Conquer algorithm and the other steps required.
 def maxCrossingSum ( arr , l , m , h ) :
	sm = 0
	left_sum = - 10000
	for i in range ( m , l - 1 , - 1 ) :
		sm = sm + arr [ i ]
		if ( sm > left_sum ) :
			left_sum = sm
	sm = 0
	right_sum = - 1000
	for i in range ( m + 1 , h + 1 ) :
		sm = sm + arr [ i ]
		if ( sm > right_sum ) :
			right_sum = sm
	return max ( left_sum + right_sum , left_sum , right_sum )
def maxSubArraySum ( arr , l , h ) :
	if ( l == h ) :
		return arr [ l ]
	m = ( l + h ) // 2
	return max ( maxSubArraySum ( arr , l , m ) , maxSubArraySum ( arr , m + 1 , h ) , maxCrossingSum ( arr , l , m , h ) )
arr = [ 2 , 3 , 4 , 5 , 7 ]
n = len ( arr )
max_sum = maxSubArraySum ( arr , 0 , n - 1 )
print ( " Maximum ▁ contiguous ▁ sum ▁ is ▁ " , max_sum )