![]() PyGreSQL is the first PostgreSQL adapter and one of the open-source Python modules for working with PostgreSQL databases that is actively developing. ![]() Plus, columns from the database are returned via Python dictionary with their names.Īmong the possible weaknesses of the package, we can note a lack of documentation and mostly outdated code examples. It should be noted that the package provides most of Python data types support with their adaptation to match PostgreSQL data types.Īmong the key features of this package are the support of multiple connections and connection objects, various methods of transaction and its management, pool of connections, auto filtering and async queries and cursors objects. Psycopg2 provides both client-side and server-side cursors as well as asynchronous communication and notifications and a “COPY TO/ FROM” support. Written on C programming language with libpq wrapper, it provides a wide range of operations for database manipulations. Psycopg2 is probably one of the most popular packages for interaction with PostgreSQL from the Python environment. One of the most common and easiest ways is to establish connections using special Python drivers among which the most popular are psycopg2, PyGreSQL, py-postgresql, and pg8000. The way you access the database via Python environment usually depends on personal choices and development specificities. ![]() Python modules for working with PostgreSQL In this article, we will go through the most common packages for dealing with PostgreSQL and show the way of using one of them. Luckily, Python has quite a wide amount of packages that provide an easy way of connecting and using databases. So if you are working on apps using Python, someday you will face the need of working with databases. Its functional capacities are no worse than Oracle’s and definitely way ahead of the MySQL.
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December 2022
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