Python Database Systems

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  1. SQLite: A lightweight, serverless, file-based database that is included with Python by default. It is suitable for small-scale applications or testing purposes.
  2. MySQL: A popular open-source relational database management system. Python provides various libraries to connect and interact with MySQL databases, such as MySQL Connector/Python, PyMySQL, and mysqlclient.
  3. PostgreSQL: A powerful open-source object-relational database system. Python offers libraries like Psycopg2 and asyncpg for working with PostgreSQL databases.
  4. Oracle Database: A commercial relational database management system. The cx_Oracle library provides Python bindings for Oracle Database.
  5. MongoDB: A flexible and scalable NoSQL database. Python has the PyMongo library for interacting with MongoDB.
  6. Redis: An in-memory data structure store. Python provides the Redis library for working with Redis databases.
  7. CouchDB: A NoSQL database that uses JSON for storing data. There is a Python library called CouchDB for working with CouchDB databases.
  8. Firebase Realtime Database: A cloud-hosted NoSQL database provided by Google. Python has the pyrebase library for interacting with Firebase Realtime Database.
  9. Elasticsearch: A distributed search and analytics engine. Python offers the Elasticsearch library for working with Elasticsearch databases.
  10. SQLAlchemy: A SQL toolkit and Object-Relational Mapping (ORM) library that supports multiple databases, including SQLite, MySQL, PostgreSQL, Oracle, and more. It provides a unified interface for working with different databases.

36 thoughts on “Python Database Systems”

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