This example demonstrates a Python script that converts Jupyter notebook files (`.ipynb`) into plain Python scripts (`.py`). It shows how to parse notebook JSON structures and extract code cells while preserving cell boundaries as comments. The script reads the input file using Python's built-in `json` library and writes the output with a standard shebang line. It handles both notebook format versions 4 and earlier, iterating through `cells` or `worksheets[0].cells` accordingly. The code relies on straightforward file I/O operations and conditional logic to accommodate schema differences, making it a practical utility for version control or code review workflows.