How to connect to a PostgreSQL database in Python?
Install the psycopg2-binary library: Use pip install psycopg2-binary for installation; 2. Import psycopg2 and establish a connection: provide host, database, user, password and port parameters to connect to the database; 3. Use cursor to execute SQL queries: execute statements through cursor.execute() and get results; 4. Securely close connection: close cursor and connection in finally block; 5. It is recommended to use environment variables to store sensitive information: avoid hard-coded usernames and passwords; 6. Use contextmanager to manage connections: ensure that resources are released correctly; 7. Optional use SQLAlchemy: connect through create_engine, suitable for ORM scenarios. The most common way to connect to PostgreSQL database is to use the psycopg2 library. You need to correctly configure the connection parameters and properly manage the connection life cycle, and ultimately achieve a safe and stable database interaction.
To connect to a PostgreSQL database in Python, the most common and reliable way is using the psycopg2
library. Here's how to do it step by step.

✅ Install psycopg2
First, install the psycopg2
package using pip:
pip install psycopg2-binary
psycopg2-binary
is recommended for development and testing. For production, consider buildingpsycopg2
from source.
✅ Import and Connect
Use the following code to establish a connection:
import psycopg2 try: connection = psycopg2.connect( host='localhost', database='your_database_name', user='your_username', password='your_password', port='5432' ) print("Connection successful!") # Create a cursor object cursor = connection.cursor() # Execute a test query cursor.execute("SELECT version();") db_version = cursor.fetchone() print(f"PostgreSQL version: {db_version}") except Exception as error: print(f"Error connecting to PostgreSQL: {error}") Finally: # Close the connection if connection: cursor.close() connection.close() print("PostgreSQL connection closed.")
? Connection Parameters Explained
You'll need these details:

- host : Usually
localhost
or an IP address (eg, for remote DBs) - database : Name of your PostgreSQL database
- user : Your PostgreSQL username (often
postgres
) - password : Password for the user
- port : Default is
5432
? Tip: Store credentials securely using environment variables or config files instead of hardcoding.
Example using environment variables:
import os import psycopg2 connection = psycopg2.connect( host=os.getenv('DB_HOST', 'localhost'), database=os.getenv('DB_NAME'), user=os.getenv('DB_USER'), password=os.getenv('DB_PASS'), port=os.getenv('DB_PORT', '5432') )
? Using a Connection Context (Recommended)
To avoid forgetting to close resources, use context managers or wrap in functions:
from contextlib import contextmanager @contextmanager def get_db_connection(): conn = None try: conn = psycopg2.connect( host='localhost', database='your_db', user='your_user', password='your_pass', port='5432' ) yield conn except Exception as e: if conn: conn.rollback() raise e Finally: if conn: conn.close() # Usage with get_db_connection() as conn: cur = conn.cursor() cur.execute("SELECT * FROM your_table LIMIT 5;") print(cur.fetchall())
? Alternative: Using SQLAlchemy (for ORM or advanced use)
If you're using SQLAlchemy, here's how to connect:
from sqlalchemy import create_engine engine = create_engine('postgresql psycopg2://user:password@localhost:5432/your_db') with engine.connect() as conn: result = conn.execute("SELECT version();") print(result.fetchone())
Install with: pip install sqlalchemy psycopg2-binary
Basically, psycopg2
is the go-to for raw PostgreSQL access in Python — lightweight, fast, and well-documented. Just keep your credentials safe and always close connections.
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