Update min price and max profit dynamically

Top150Interview/121BestTimetoBuyandSellStock.py

@@ -3,17 +3,42 @@ def maxProfit(prices):
     :type prices: List[int]
     :rtype: int
     """
-    lowest = min(prices)
+    # Use iterative loop to look for the greatest profit, not the only profit after the lowest
-    if lowest == prices[len(prices)-1]:
+    # lowest = min(prices)
-        print('no profit')
+    # if lowest == prices[len(prices)-1]:
-        return 0
+    #     print('no profit')
-    for i in range(len(prices)):
+    #     return 0
-        if lowest == prices[i]:
+    # for i in range(len(prices)):
-            k = i+1
+    #     if lowest == prices[i]:
-            # print(f'k is {k}')
+    #         k = i+1
-            profit = max(prices[k:]) - lowest
+    #         # print(f'k is {k}')
-            print(profit)
+    #         profit = max(prices[k:]) - lowest
-            return profit
+    #         print(profit)
+    #         return profit
+
+    # Code Timed out
+    # profit = []
+    # for i in range(len(prices)):
+    #     for j in range(i+1, len(prices)):
+    #         if prices[i] < prices[j]:
+    #             profit.append(prices[j] - prices[i])
+    # # print(max(profit))
+    # if not profit:
+    #     return 0
+    # return max(profit)
+
+    # Code with faster Implementation
+    min_price = prices[0]  # Track the minimum price seen so far
+    max_profit = 0  # Track the maximum profit
+
+    for price in prices:
+        # print(f'price is {price}')
+        # print(f'MinPrice: {min_price} or {price}')
+        # print(f'MaxProfit: {max_profit} or [{price} - {min_price} = {max(max_profit, price - min_price)}]')
+        min_price = min(min_price, price)  # Update the minimum price
+        max_profit = max(max_profit, price - min_price)  # Update the maximum profit
+    return max_profit
 
 # maxProfit([7,1,5,3,6,4])
 maxProfit([7,6,4,3,1])
+# maxProfit([2,4,1])