I\'m looking at using the *.ipynb files as the source of truth and programmatically \'compiling\' them into .py files for scheduled jobs/tasks.
The
The following example turns an Iron Python Notebook called a_notebook.ipynb into a python script called a_python_script.py leaving out the cells tagged with the keyword remove, which I add manually to the cells that I don't want to end up in the script, leaving out visualizations and other steps that once I am done with the notebook I don't need to be executed by the script.
import nbformat as nbf
from nbconvert.exporters import PythonExporter
from nbconvert.preprocessors import TagRemovePreprocessor
with open("a_notebook.ipynb", 'r', encoding='utf-8') as f:
the_notebook_nodes = nbf.read(f, as_version = 4)
trp = TagRemovePreprocessor()
trp.remove_cell_tags = ("remove",)
pexp = PythonExporter()
pexp.register_preprocessor(trp, enabled= True)
the_python_script, meta = pexp.from_notebook_node(the_notebook_nodes)
with open("a_python_script.py", 'w') as f:
f.writelines(the_python_script)