diff --git a/Problem1.py b/Problem1.py
new file mode 100644
index 00000000..b6509033
--- /dev/null
+++ b/Problem1.py
@@ -0,0 +1,34 @@
+class Solution(object):
+# tc : O(2n) 2 for loops -> O(n)
+# sc : O(1) no extra space used just variables which is O(1), the product array is the output array of space n and given
+# The output array does not count as extra space for space complexity analysis
+# // Did this code successfully run on Leetcode : Yes
+
+    def productExceptSelf(self, nums):
+        """
+        :type nums: List[int]
+        :rtype: List[int]
+        """
+        # since we cannot use division operation
+        # at every point I will need left of the elements product and right of the elements product
+        # first traversing left of each index and saving the left product at that index in an product_array
+        # and then have one more for loop to multiple the left product with the right product at that index 
+        # will return the product array which is the product of all elemenst except self
+
+        
+        product_array = [1]*len(nums)
+
+        right_product = 1
+        left_product = 1
+
+        for i in range(1,len(nums)):
+            left_product = left_product*nums[i-1]
+            product_array[i] = left_product
+
+        for i in range(len(nums)-2, -1, -1):
+            right_product = right_product*nums[i+1]
+            product_array[i] = product_array[i]*right_product
+
+        return product_array
+
+
diff --git a/Problem2.py b/Problem2.py
new file mode 100644
index 00000000..f872f594
--- /dev/null
+++ b/Problem2.py
@@ -0,0 +1,70 @@
+class Solution(object):
+#     // Time Complexity : O(n*m) 
+# // Space Complexity : O(1)
+# // Did this code successfully run on Leetcode : Yes
+    def findDiagonalOrder(self, mat):
+        """
+        :type mat: List[List[int]]
+        :rtype: List[int]
+        """
+        # diagonal traverse : down to top and then top to down and keeps gng
+        # so in the matrix there are two directions upward and downward
+        # will write conditions to traverse from top and botton directions and cover all the elements 
+        
+
+        # top direction
+        # when at a position r, c keep iterating till top by moving r--, c++
+        # the boundary conditions are r == 0 or c == n-1 where n is the number of columns - 
+        # change the direction to bottom
+           # when reached r ==0, c++ move to the right
+           # when reached c = n-1 , r ++ move down 
+
+        # bottom direction
+        # when at a position r,c , keep iterating r++, c--
+        # the boundary condtions are c == 0 reached till end, r == m-1 where m is the number of rows
+        # change the direction to top
+          # when reached c == 0, r ++ move to down
+          # when reached r = m-1 , c ++ move right
+
+        dir = True
+        m = len(mat)
+        n = len(mat[0])
+        r = c = 0 
+
+        traverse = []
+
+        for i in range(m*n):
+            traverse.append(mat[r][c])
+
+            if dir:
+                if c == n-1:
+                    r +=1
+                    dir = False # chaging the dir
+                elif r == 0:
+                    c +=1
+                    dir = False # changing the dir
+                else :
+                    r-= 1
+                    c +=1
+            else:
+                if r == m-1:
+                    c +=1
+                    dir = True
+                elif c == 0:
+                    r +=1
+                    dir = True
+                else:
+                    r+=1
+                    c -= 1
+
+        
+        return traverse
+
+                
+
+
+
+
+
+
+         
\ No newline at end of file
diff --git a/Problem3.py b/Problem3.py
new file mode 100644
index 00000000..b0d89f08
--- /dev/null
+++ b/Problem3.py
@@ -0,0 +1,37 @@
+class Solution:
+    #     // Time Complexity : O(n*m) # traverse the whole matrix
+# // Space Complexity : O(1)
+# // Did this code successfully run on Leetcode : Yes
+    def spiralOrder(self, matrix):
+        # sprial matrix is move to the right and once reached till end we move till the bottom and end till the left of the matrix 
+        # and till 1 less than the top and keep gng and once top or bottom are crossed or left and right are crossed we reached the end point 
+        # of the spiral matrix
+
+        m = len(matrix)
+        n = len(matrix[0])
+
+        top, bottom, left, right = 0, m - 1, 0, n - 1
+
+        result = []
+
+        while top <= bottom and left <= right: # once goes out of the this condition we have traversed all the elements in the matrix
+
+            for i in range(left, right + 1):
+                result.append(matrix[top][i]) # moved till the end of the top row
+            top += 1 # the new top will be 1+ the previous top, as we already parsed the top elemenst the new top will be 1+ 
+
+            for i in range(top, bottom + 1): # next moved till the bottom of thr right col
+                result.append(matrix[i][right]) 
+            right -= 1 # the new right will be -1 as the most right coloum is traversed the new right is -1 of the previous right
+
+            if top <= bottom: # we have increased the top after the 1st for loop so have to check by increasing is it less than or equal to bottom , before traversing
+                for i in range(right, left - 1, -1): # move till the left of the bottom row
+                    result.append(matrix[bottom][i])
+                bottom -= 1 # covered the last bottom the new bottom will be 1 up so bottom-=1
+
+            if left <= right: # last direction is 
+                for i in range(bottom, top - 1, -1): # move till the top of the left col
+                    result.append(matrix[i][left])
+                left += 1
+
+        return result