Installing and Importing the library pyodbc
Wen will use pyodbc library to connect python with SQL.
Install pyodbc using pip command.
pip install pyodbc
and then import the library in your Jupyter notebook
import pyodbc
pyodbc is primary job is to work as bridge between python SQL.
In this article I am working with MS SQL but we can use the same code for other ODBC compliant database only the process of connection will vary a liitle.I
- For Trusted Connection:
connection_string = ("Driver={SQL Server Native Client 11.0};"
"Server=Your_Server_Name;"
"Database=My_Database_Name;"
"Trusted_Connection=yes;")
- For Non-Trusted Connection:
connection_string = ("Driver={SQL Server Native Client 11.0};"
"Server=Your_Server_Name;"
"Database=My_Database_Name;"
"UID=Your_User_ID;"
"PWD=Your_Password;")
You need the following to access:
- Server
- Database
- User ID
- Password
Initialize the connection by calling pyodbc.connect function as below
connection = pyodbc.connect(connection_string)
# Initialise the Cursor cursor = connection.cursor() # Executing a SQL Query cursor.execute('SELECT TOP(10) * FROM OINV')
for row in cursor: print(row)
(1, 10210, datetime.datetime(2021, 12, 1, 0, 0)) (2, 10211, datetime.datetime(2021, 12, 1, 0, 0)) (3, 10212, datetime.datetime(2021, 12, 1, 0, 0)) (4, 10213, datetime.datetime(2021, 12, 1, 0, 0)) (5, 10214, datetime.datetime(2021, 12, 1, 0, 0)) (6, 10215, datetime.datetime(2021, 12, 1, 0, 0)) (7, 110087, datetime.datetime(2021, 12, 1, 0, 0)) (8, 110088, datetime.datetime(2021, 12, 1, 0, 0)) (9, 110089, datetime.datetime(2021, 12, 1, 0, 0)) (10, 110090, datetime.datetime(2021, 12, 1, 0, 0))