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Keep configuration settings separate from application code by using environment variables or dedicated configuration files. This promotes better maintainability, security, and flexibility across different deployment environments.

Key practices:

1. Use environment variables for sensitive or environment-specific configuration

   import os
      
   # Read configuration from environment variables with defaults
   database_url = os.getenv("DATABASE_URL", "sqlite:///default.db")
   debug_mode = os.getenv("DEBUG_MODE", "False") == "True"
   

2. Isolate project dependencies with virtual environments Create virtual environments for each project to manage dependencies independently and avoid conflicts:

   $ python -m venv .venv
   $ source .venv/bin/activate  # Linux/macOS
   $ .venv\Scripts\Activate.ps1  # Windows PowerShell
   

3. Document configuration options clearly Provide comprehensive documentation of all configuration options, including:
   • Expected variable types
   • Default values
   • Example usage
   • Possible values and their impact
4. Consider using a centralized configuration manager For more complex applications, implement a dedicated configuration class:

   from pydantic_settings import BaseSettings
      
   class Settings(BaseSettings):
       database_url: str = "sqlite:///default.db"
       api_key: str
       debug_mode: bool = False
          
       class Config:
           env_file = ".env"
      
   settings = Settings()
   

By separating configuration from code, you can adapt your application to different environments without changing the codebase, simplify testing, and enhance security by keeping sensitive information out of your repository.

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