Python example to connect PostgreSQL database. Next, it will cover PostgreSQL transaction management, connection pooling, and error-handling techniques to develop robust Python programs with PostgreSQL. Perform data insertion, data retrieval, data update, and data deletion through Python application. Installing Psycopg2 and use its API to access the PostgreSQL database. This Python PostgreSQL guide mainly focuses on the followings It is thread-safe and designed for heavily multi-threaded applications. 
It is also actively maintained and supports Python’s primary version, i.e., Python 3 and Python 2. 
It is used in most of the Python and Postgres frameworks. Also, We are using Psycopg2 to work with PostgreSQL because of the following reasons. We stick to the Psycopg2 because it is arguably the most popular and stable module to work with PostgreSQL. In other words, the syntax, method, and way of access the database are the same in all the above modules. This API is designed to encourage and maintain the similarity between the Python database modules to access databases. Note : Above all modules adhere to Python Database API Specification v2.0 (PEP 249). SQLAlchemy needs any of the above to be installed separately. PYTHON CONNECT TO POSTGRESQL HOW TO
There are many ways we can connect to a PostgreSQL database from Python, and in this tutorial, we’re going to explore several options to see how to achieve this.īelow is the list of available Python modules to work with the PostgreSQL database server. This Python PostgreSQL tutorial demonstrates how to use the Psycopg2 module to connect to PostgreSQL and perform SQL queries, database operations.
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