: Strong typing prevents runtime crashes from bad config.
Using libraries like Pydantic Settings allows you to create a "Settings" class that automatically pulls from environment variables and validates data types. config.py
The most straightforward approach is defining variables directly in a .py file and importing them. : Strong typing prevents runtime crashes from bad config
from pydantic_settings import BaseSettings class Settings(BaseSettings): database_url: str port: int = 8080 settings = Settings() Use code with caution. Copied to clipboard The config
Flask often uses classes to manage environments. You can create a base config and override it for specific environments.
The config.py file is a staple in Python development, serving as a dedicated hub to decouple your application logic from its settings. Keeping hard-coded values like API keys or database URLs out of your main code makes your projects more . Why Use a config.py ?