Of course! This is a great question that touches on a common point of confusion for Python developers working with MySQL.

Let's break it down clearly.
The Short Answer (TL;DR)
For Python 3.3, the standard, recommended, and most reliable library to connect to MySQL is mysql-connector-python.
You install it using pip:
pip install mysql-connector-python
The Detailed Explanation: Why mysql-connector-python?
The old, go-to library for a long time was MySQLdb. However, this library has a major problem:

MySQLdbis not compatible with Python 3. It was written for Python 2 and was never officially updated to support Python 3.
This led to the creation of several alternative libraries. Here’s a quick comparison to understand why mysql-connector-python is the best choice for your situation.
| Library | Compatibility with Python 3.3 | Recommendation for Python 3.3 |
|---|---|---|
mysql-connector-python |
✅ Fully Supported | Highly Recommended. This is the official driver from Oracle. It's actively maintained, supports all modern MySQL features, and is designed to work seamlessly with Python 3. |
MySQLdb |
❌ Not Supported | Do Not Use. This is the legacy library for Python 2. Attempting to install it on Python 3.3 will fail. |
PyMySQL |
✅ Fully Supported | Good Alternative. A pure-Python implementation of the MySQL client-server protocol. It's very easy to install (pip install PyMySQL) as it doesn't require MySQL headers. It's a solid choice, especially if you can't compile C extensions. |
mysqlclient |
✅ Fully Supported | Advanced/Alternative. This is a fork of the abandoned MySQL-python (a successor to MySQLdb). It's very fast because it's a C extension. However, it can be tricky to install on some systems because it requires you to have the MySQL development libraries (libmysqlclient-dev on Linux, MySQL Connector/C on Windows) installed first. |
Conclusion for Python 3.3: Stick with the officially supported and straightforward option: mysql-connector-python.
How to Use mysql-connector-python with Python 3.3
Here is a step-by-step guide with code examples.
Step 1: Install the Library
Open your terminal or command prompt and run:

pip install mysql-connector-python
If you need to specify a version (though this is rarely necessary as it's backward compatible), you could do:
pip install "mysql-connector-python==8.0.33"
But the simple install is best.
Step 2: Basic Python Code Example
Here is a simple, complete script that connects to a MySQL database, creates a table, inserts a record, and then queries it.
Prerequisites:
- You have a MySQL server running.
- You have a database created (e.g.,
testdb). - You have a user with permissions on that database (e.g.,
userwith passwordpassword).
# import the MySQL Connector Python module
import mysql.connector
from mysql.connector import Error
def connect_to_mysql():
"""Establishes a connection to the MySQL database."""
try:
# Replace with your actual database connection details
connection = mysql.connector.connect(
host='localhost', # Your MySQL server host
database='testdb', # Your database name
user='user', # Your MySQL username
password='password' # Your MySQL password
)
if connection.is_connected():
db_info = connection.get_server_info()
print(f"Successfully connected to MySQL Server version {db_info}")
cursor = connection.cursor()
cursor.execute("SELECT database();")
record = cursor.fetchone()
print(f"You're connected to database: {record[0]}")
# --- Example of creating a table and inserting data ---
create_table_query = """
CREATE TABLE IF NOT EXISTS employees (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
position VARCHAR(100),
salary DECIMAL(10, 2)
)
"""
cursor.execute(create_table_query)
print("Table 'employees' created or already exists.")
# Insert a new record
insert_query = "INSERT INTO employees (name, position, salary) VALUES (%s, %s, %s)"
employee_data = ('Alice Smith', 'Software Engineer', 95000.00)
cursor.execute(insert_query, employee_data)
# Commit the transaction to save the changes
connection.commit()
print(f"{cursor.rowcount} record inserted into 'employees' table.")
# --- Example of querying data ---
select_query = "SELECT id, name, position, salary FROM employees"
cursor.execute(select_query)
# Fetch all the records
records = cursor.fetchall()
print("\nPrinting employee records:")
for row in records:
print(f"ID: {row[0]}, Name: {row[1]}, Position: {row[2]}, Salary: {row[3]}")
except Error as e:
print(f"Error while connecting to MySQL: {e}")
finally:
# Closing the database connection
if 'connection' in locals() and connection.is_connected():
cursor.close()
connection.close()
print("\nMySQL connection is closed.")
# Run the function
if __name__ == "__main__":
connect_to_mysql()
Important Consideration for Python 3.3 and Modern Systems
While mysql-connector-python works perfectly with Python 3.3, it's crucial to understand that Python 3.3 reached its official "end of life" in September 2025.
This means:
- It no longer receives security updates.
- It no longer receives bug fixes.
- Many modern libraries and tools may have dropped support for it.
If you are starting a new project today, you should absolutely use a modern, supported version of Python (like Python 3.8, 3.9, 3.10, 3.11, or 3.12). The connection libraries (mysql-connector-python, PyMySQL) work much better and are more secure on these versions.
You should only use Python 3.3 if you are maintaining a legacy application that cannot be upgraded.
