Python Configuration Architecture: Environment Variables & Pydantic Settings (2026)

1. 1Configure environment variables using Python's os module to separate sensitive data from code
2. 2Install and import Pydantic to define robust and validated settings
3. 3Define a settings class using Pydantic's BaseSettings to handle configuration data
4. 4Use environment variables to override default settings in Pydantic
5. 5Test and validate the configuration settings using Pydantic's built-in validation

Backend developers and DevOps engineers can benefit from this article to improve their application's configuration management and scalability

💡 Separate sensitive data from code using environment variables and validate settings with Pydantic for a robust configuration architecture

💡 Manage Python config settings with env vars & Pydantic for scalability & maintainability!