Convert Jupyter Notebook to Python Script
Convert Jupyter notebooks (.ipynb) to Python scripts (.py) instantly. Extract code cells, remove outputs, and create clean Python files for production deployment.
By ChangeThisFile Team · Last updated: March 2026
Convert Jupyter notebooks to Python scripts by extracting code cells and removing markdown, outputs, and metadata. This creates clean .py files suitable for production deployment and version control.
Convert IPYNB to PY
Drop your IPYNB file here to convert it instantly
Drag & drop your .ipynb file here, or click to browse
Convert to PY instantly
When to Convert
Common scenarios where this conversion is useful
Production Deployment
Convert research notebooks to production-ready Python scripts for deployment in containers, serverless functions, or scheduled jobs.
CI/CD Pipeline Integration
Extract Python code for automated testing, linting, and continuous integration workflows that require standard .py files.
Code Collaboration
Share clean Python code with team members who don't use Jupyter, or integrate notebook logic into larger Python applications.
Version Control Optimization
Create Git-friendly Python files that show clear code changes without notebook metadata and output noise.
Library Development
Extract functions and classes from exploratory notebooks to create reusable Python modules and packages.
How to Convert IPYNB to PY
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1
Upload Your Jupyter Notebook
Select your .ipynb file using the file picker. The notebook will be processed entirely in your browser for privacy.
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2
Automatic Code Extraction
Our converter extracts all code cells, removes outputs and metadata, and preserves comments and docstrings from your notebook.
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3
Download Python Script
Get your clean .py file with all executable code ready for production use, testing, or version control.
Frequently Asked Questions
Markdown cells are converted to multi-line comments in the Python script, preserving your documentation while making it compatible with Python syntax.
No, cell outputs (printed results, plots, tables) are removed during conversion. Only the executable code is preserved in the .py file.
The code logic will be identical, but you may need to adjust import statements or file paths since notebooks and scripts have different execution contexts.
Jupyter magic commands (like %matplotlib inline or %%time) are preserved as comments since they're notebook-specific and won't work in standard Python.
This converter is designed for Python notebooks. Cells in other languages (R, Scala, etc.) will be included but may not execute properly in a Python script.
No, execution counts, cell IDs, and other notebook metadata are removed to create a clean Python script focused on the code content.
Variables and their relationships are preserved in the same order as the notebook cells, but the converted script won't retain any executed state from the notebook.
Standard .ipynb files aren't typically encrypted, but if your notebook has access restrictions, ensure you can open it normally before conversion.
Import statements are preserved exactly as written in the notebook. You may need to install the same packages in your Python environment to run the script.
The converter handles notebooks of any reasonable size since processing happens in your browser. Very large notebooks may take a few seconds to process.
Yes, all function definitions, classes, and their proper indentation are maintained exactly as written in the notebook code cells.
Currently, the converter processes one notebook at a time. For batch conversion, you'll need to convert each .ipynb file separately.
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