docs: improve python driver api usage examples (#3002)

Author: BohuTANG

docs/cn/developer/00-drivers/01-python.md

@@ -42,14 +42,42 @@ cursor.execute("CREATE TABLE users (id INT, name STRING)")
 # 写入：插入数据
 cursor.execute("INSERT INTO users VALUES (?, ?)", (1, 'Alice'))
 
+# 查询：读取数据
 # 查询：读取数据
 cursor.execute("SELECT * FROM users")
+
+# 获取列名
+# cursor.description 返回一个元组列表，其中每个元组的第一个元素是列名
+print(f"Columns: {[desc[0] for desc in cursor.description]}")
+
 for row in cursor.fetchall():
-    print(row.values())
+    # row 是一个 databend_driver.Row 对象
+    # 通过列名访问
+    print(f"id: {row['id']}, name: {row['name']}")
 
 cursor.close()
 ```
 
+### Row 对象使用
+
+`Row` 对象支持多种访问模式和方法：
+
+```python
+for row in cursor.fetchall():
+    # 1. 通过列名访问（推荐）
+    print(f"Name: {row['name']}")
+    
+    # 2. 通过索引访问
+    print(f"First column: {row[0]}")
+    
+    # 3. 转换为元组
+    print(f"Values: {row.values()}")
+    
+    # 4. 显式方法调用
+    print(row.get_by_field('name'))
+    print(row.get_by_index(0))
+```
+
 ### 异步用法
 
 ```python

docs/cn/tutorials/develop/python/integrating-with-databend-cloud-using-databend-driver.md

@@ -43,15 +43,23 @@ cursor.execute('SELECT * FROM data')
 # 读取所有结果
 rows = cursor.fetchall()
 
+# 获取列名
+# cursor.description 返回一个元组列表，其中每个元组的第一个元素是列名
+column_names = [desc[0] for desc in cursor.description]
+print(f"Columns: {column_names}")
+
 # 打印结果
 for row in rows:
-    print(row.values())
+    # row 是一个 databend_driver.Row 对象
+    # 通过列名访问
+    print(f"x: {row['x']}, y: {row['y']}")
 ```
 
 2. 执行 `python main.py`：
 
 ```bash
 python main.py
-(1, 'yy')
-(2, 'xx')
+Columns: ['x', 'y']
+x: 1, y: yy
+x: 2, y: xx
 ```

docs/en/developer/00-drivers/01-python.md

@@ -42,14 +42,42 @@ cursor.execute("CREATE TABLE users (id INT, name STRING)")
 # Write: Insert data  
 cursor.execute("INSERT INTO users VALUES (?, ?)", (1, 'Alice'))
 
+# Query: Read data
 # Query: Read data
 cursor.execute("SELECT * FROM users")
+
+# Get column names
+# cursor.description returns a list of tuples, where the first element is the column name
+print(f"Columns: {[desc[0] for desc in cursor.description]}")
+
 for row in cursor.fetchall():
-    print(row.values())
+    # row is a databend_driver.Row object
+    # Access by column name
+    print(f"id: {row['id']}, name: {row['name']}")
 
 cursor.close()
 ```
 
+### Working with Row Objects
+
+The `Row` object supports multiple access patterns and methods:
+
+```python
+for row in cursor.fetchall():
+    # 1. Access by column name (Recommended)
+    print(f"Name: {row['name']}")
+    
+    # 2. Access by index
+    print(f"First column: {row[0]}")
+    
+    # 3. Convert to tuple
+    print(f"Values: {row.values()}")
+    
+    # 4. Explicit methods
+    print(row.get_by_field('name'))
+    print(row.get_by_index(0))
+```
+
 ### Asynchronous Usage
 
 ```python

docs/en/tutorials/develop/python/integrating-with-databend-cloud-using-databend-driver.md

@@ -42,15 +42,23 @@ cursor.execute('SELECT * FROM data')
 # Fetch all rows from the result
 rows = cursor.fetchall()
 
+# Get column names from cursor.description
+# cursor.description returns a list of tuples, where the first element is the column name
+column_names = [desc[0] for desc in cursor.description]
+print(f"Columns: {column_names}")
+
 # Print the result
 for row in rows:
-    print(row.values())
+    # row is a databend_driver.Row object
+    # Access by column name
+    print(f"x: {row['x']}, y: {row['y']}")
 ```
 
 2. Run `python main.py`:
 
 ```bash
 python main.py
-(1, 'yy')
-(2, 'xx')
+Columns: ['x', 'y']
+x: 1, y: yy
+x: 2, y: xx
 ```