engine = Install the Jupyter Notebook SQL-extension using either pip or conda on your console. In the figure below, the port number is 5433.įinally, replace “postgres_db” with “dvdrental” or the name of the database that you will access. Then, check the Connection tab, and port number. First, visit the Properties of your server from your PGAdmin or an equivalent tool such as DBEAVER. You can check your port number from your configuration file, or from your GUI management tool such as PGAdmin. “5432” is the default PostgreSQL port number. engine = this syntax, replace “your_password” with the password that you created during the installation of PostgreSQL.To create the engine, the syntax is as below: import sqlalchemyĢ- To connect to the database, we need to create a postgresql engine. SQLAlchemy generates SQL statements, and psycopg2 communicates with the database. It works with a DB driver which is “psycopg2” for PostgreSQL. SQLAlchemy is a library used to interact with a wide variety of databases. Let’s start by following the steps below:ġ- First, make sure that SQLAlchemy Python module is installed and imported. In case your code complains with the error code “ModuleNotFound”, please pip install the missing module in your console. During the execution of the steps below, you might need to install a psycopg2-related module such as psycopg2-binary. The Python DB API implementation for PostgreSQL is “psycopg2”. In case you want to use dvdrental, you can download the database here: You can use any other database for the queries. Please make a note of it so that you will use it below to connect to your database in your notebook.įor this notebook, I will show a few simple queries on the sample database dvdrental. During the installation, you will be required to create a password. For a free download of the PostgreSQL server on your local machine and installation instructions, please see and. In this tutorial, using a Jupyter notebook, we will briefly see how to connect to a PostgreSQL database, which is a popular open-source relational database, and how to make queries in a Jupyter Notebook using Python language.īefore we begin, we need a PostgreSQL database installed on our machine. Python Database (DB) APIs are compatible with various databases, and in particular, Python supports relational database systems. They allow you to streamline, replicate, and document your data. Jupyter notebooks can be powerful tools to connect to your remote database.
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