The nbformat
package gives us the necessary tools to create a new Jupyter Notebook without having to know the specifics of the file format, JSON schema, etc.
import nbformat as nbf
Now we create a new notebook object, that we can then populate with cells, metadata, etc:
nb = nbf.v4.new_notebook()
Our simple text notebook will only have a text cell and a code cell:
text = """\
# My first automatic Jupyter Notebook
This is an auto-generated notebook."""
code = """\
%pylab inline
hist(normal(size=2000), bins=50);"""
nb['cells'] = [nbf.v4.new_markdown_cell(text),
nbf.v4.new_code_cell(code) ]
Next, we write it to a file on disk that we can then open as a new notebook:
nbf.write(nb, 'test.ipynb')
This notebook can be run at the command line with:
jupyter nbconvert --execute --inplace test.ipynb
Or you can open it as a live notebook.