.env.python.local |verified|
What is .env.python.local?
- Easy to manage environment variables: Store environment variables in a single file, making it easy to manage and update them.
- Separation of concerns: Keep sensitive information separate from your codebase, reducing the risk of exposing secrets.
- Environment-specific configuration: Store environment-specific configuration, such as database URLs or API keys, without affecting the codebase.
import os from dotenv import load_dotenv # Explicitly load the specific .local file # You can also load the standard .env first, then override with .local load_dotenv(".env") load_dotenv(".env.python.local", override=True) db_url = os.getenv("DATABASE_URL") print(f"Connecting to: db_url") Use code with caution. Copied to clipboard Best Practices
No more flipping settings. No more accidental mistakes. .env.python.local
Common Use Cases
| Framework/Library | Typical .env.python.local content |
|------------------|--------------------------------------|
| Django | SECRET_KEY, DEBUG=True, DATABASE_URL, ALLOWED_HOSTS=localhost |
| Flask/FastAPI | FLASK_APP, FLASK_ENV=development, DATABASE_URL, SECRET_KEY |
| General Python | API_KEY, LOG_LEVEL=DEBUG, REDIS_URL, S3_BUCKET |
In a monorepo (a single repository containing multiple languages), using .env.python.local instead of just .env.local prevents naming collisions. For instance, your Python backend and React frontend might both need a PORT variable, but with different values. Specifying the language in the filename keeps your workspace organized. Conclusion What is
Priority 3: .env.python.local (HIGHEST priority, NEVER committed)
This file should always override everything else.
env_local_file = BASE_DIR / ".env.python.local" if env_local_file.exists(): load_dotenv(env_local_file, override=True)
Option to create virtual environments in the project root (.venv) #108 Easy to manage environment variables : Store environment
.env.python.local: A Best Practice for Managing Local Environment Variables in Python Projects
As a Python developer, you may have encountered the need to manage environment-specific variables in your projects. One common approach is to use a .env file to store sensitive or environment-specific data. However, when working on a team or in different environments, it's essential to have a strategy for managing local environment variables. This is where .env.python.local comes in.