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
python
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
bash
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
bash
grep -n "search_term" notebook.ipynb
Cell Structure
python
# Code cell
{"cell_type": "code", "execution_count": None, "metadata": {}, "outputs": [], "source": ["code\n"]}
# Markdown cell
{"cell_type": "markdown", "metadata": {}, "source": ["# Title\n"]}
Clear Outputs
python
for cell in nb['cells']:
if cell['cell_type'] == 'code':
cell['outputs'] = []
cell['execution_count'] = None