Update 背包理论基础01背包-2.md Python代码

增加python部分代码.
测试结果:
```
[[0, 15, 15, 15, 15], [0, 15, 15, 20, 35], [0, 15, 15, 20, 35]]
```
与题解一致.

problems/背包理论基础01背包-1.md

@@ -307,6 +307,41 @@ Java：
 
 
 Python：
+```python
+def test_2_wei_bag_problem1(bag_size, weight, value) -> int: 
+	rows, cols = len(weight), bag_size + 1
+	dp = [[0 for _ in range(cols)] for _ in range(rows)]
+	res = 0
+    
+	# 初始化dp数组. 
+	for i in range(rows): 
+		dp[i][0] = 0
+	first_item_weight, first_item_value = weight[0], value[0]
+	for j in range(1, cols): 	
+		if first_item_weight <= j: 
+			dp[0][j] = first_item_value
+
+	# 更新dp数组: 先遍历物品, 再遍历背包. 
+	for i in range(1, len(weight)): 
+		cur_weight, cur_val = weight[i], value[i]
+		for j in range(1, cols): 
+			if cur_weight > j: # 说明背包装不下当前物品. 
+				dp[i][j] = dp[i - 1][j] # 所以不装当前物品. 
+			else: 
+				# 定义dp数组: dp[i][j] 前i个物品里，放进容量为j的背包，价值总和最大是多少。
+				dp[i][j] = max(dp[i - 1][j], dp[i - 1][j - cur_weight]+ cur_val)
+				if dp[i][j] > res: 
+					res = dp[i][j]
+
+	print(dp)
+
+
+if __name__ == "__main__": 
+	bag_size = 4
+	weight = [1, 3, 4]
+	value = [15, 20, 30]
+	test_2_wei_bag_problem1(bag_size, weight, value)
+```
 
 
 Go：