How do I convert an IPython Notebook into a Python file via commandline?
Converting an IPython Notebook into a Python file is simple:
This results in a Python file <YourNotebook>.py
, containing the executable code from the notebook.
Intermediate functionalities
Batch conversion
For those tired of the one-by-one ritual, enjoy the beauty of wildcard *.ipynb
:
Transforms all notebooks in the directory to Python scripts in one command—wow!
In-notebook command execution
Life-hack: Run your conversion without leaving the mother ship Notebook:
This is the equivalent of "Go to Shell -> Do the Thing -> Return to Python." Neat, right?
Simplifying commands
Tired of typing? Wrap the conversion command in a handy script:
This writes a script convert_notebooks.sh
that you can use and reuse―don't forget to replace <YourNotebook>.ipynb
!
Double-sided magic with Jupytext
Jupytext enables bidirectional conversion between the .ipynb
and .py
formats:
Like a magician with doves, but with code files instead.
Nitty-gritty details
Decoding command-line syntax
The --to script
argument does the heavy lifting. This is the newer alternative to --to python
.
Going beyond the basics
Leverage the nbconvert
API directly in Python:
This sequence of commands might look like Harry Potter's spell list, but each does something powerful.
Script execution with Jupytext
Turn static code into living, breathing scripts:
Now your Python script runs & updates your Jupyter Notebook. It's a programming inception!
Advance use cases
Compatibility issues
When extracting notebook code, watch out for compatibility with nbformat
versions. Like dealing with teenagers, different versions require different approaches!
Automation without GUI
Scripts make it easy to automate conversions on non-GUI platforms―like a butler for your headless server or Docker container.
Task scheduling
Script conversion opens the door to Cron jobs and task automation—so you can set it, forget it, and let your code carry the burden!
Complete conversion
Manual JSON parsing can miss metadata—it's like asking a five-year old to proofread your resume. Use dedicated libraries instead!
Was this article helpful?