Jupyter Notebook Guide

Notebooks are JSON files. Cells are in nb['cells'], each has source (list of strings) and cell_type ('code', 'markdown', or 'raw').

Modifying Notebooks import json with open('notebook.ipynb') as f: nb = json.load(f)

Modify nb['cells'][i]['source'], then:

with open('notebook.ipynb', 'w') as f: json.dump(nb, f, indent=1)

Executing & Converting jupyter nbconvert --to notebook --execute --inplace notebook.ipynb # Execute in place jupyter nbconvert --to html notebook.ipynb # Convert to HTML jupyter nbconvert --to script notebook.ipynb # Convert to Python jupyter nbconvert --to markdown notebook.ipynb # Convert to Markdown

Finding Code grep -n "search_term" notebook.ipynb

Cell Structure

Code cell

{"cell_type": "code", "execution_count": None, "metadata": {}, "outputs": [], "source": ["code\n"]}

Markdown cell

{"cell_type": "markdown", "metadata": {}, "source": ["# Title\n"]}

Clear Outputs for cell in nb['cells']: if cell['cell_type'] == 'code': cell['outputs'] = [] cell['execution_count'] = None