self-contained-python-scripts

To create self-contained Python scripts, you use inline metadata for dependency management, allowing the script to run via a single command without external environment setup. This eliminates the need to manually install packages or configure virtual environments before execution.

PEP 723 is a standard for inline metadata that allows Python scripts to declare their dependencies and Python version requirements directly within the script file. This mechanism simplifies script distribution by enabling tools to automatically resolve and fetch necessary packages.

Yes, you can build ergonomic command-line interfaces in a single file by using argparse for simple scripts or Cyclopts for complex command-line interfaces. This approach allows you to create user-friendly CLIs while maintaining a self-contained script structure.

Yes, the self-contained script approach supports rich output formatting with rich, progress bars via alive-progress, interactive prompts using questionary, and fuzzy selection with iterfzf. These integrations enhance the user experience for data processing and automation tasks.

The best way to distribute a Python script with complex dependencies like httpx and rich is to use PEP 723 inline metadata. By declaring dependencies within the script itself, users can execute it directly without manually installing packages or managing separate environment files.