Jupyter notebooks have gained immense popularity among data scientists and researchers for interactive computing and data visualization. Often, these notebooks contain snippets of code, markdown cells, and outputs like plots. However, sometimes you might need to convert your Jupyter notebook into a plain Python script for easier deployment or to use in different environments.
nbconvert is a built-in Jupyter tool that allows users to convert their notebook files (.ipynb) into various formats including Python files (.py). By converting a notebook to a Python script, you can streamline your code and remove the cell structures and outputs, leaving just the code and markdown in comment form.
For those wanting a pure code version of their work, this conversion process ensures that the code retains its functionality, minus the visual flair of Jupyter. This is especially useful when you want to share your work with others or deploy it in a different environment.
$ pip install nbconvert
$ cd /path/to/your/notebook_directory/
$ jupyter nbconvert --to python YourNotebookName.ipynb
$ ls | grep YourNotebookName.py
You should now see a file named “YourNotebookName.py” in your directory, which is the converted Python script.
$ cat YourNotebookName.py
The converted script will contain your code and markdown cells will be transformed into Python comments.
$ python YourNotebookName.py
$ mv YourNotebookName.py NewScriptName.py
With these steps, you can easily transition your work from the Jupyter notebook environment to a more traditional Python script, enabling broader applications and use-cases.
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