Notebooks

Interactive notebooks have become indispensable tools for data science, education, and exploratory programming. Notebooks are used to write executable code alongside markdown, visualize results in real time, and share insights through dynamic, shareable documents ideal for education, research, and data-driven storytelling.

Jupyter¶

• https://jupyter.org/

• De facto standard for interactive computing in Python

• JupyterLab: latest web-based interactive development environment for notebooks, code, and data.

• Jupyter Notebook: original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience.

• Can be used for more than Python (e.g. R, Julia)

• Files are notebook files (.ipynb)

Usage¶

Install JupyterLab¶

When inside a uv project, run:

uv add jupyterlab

With a conda environment activated, run:

conda install -c conda-forge jupyter lab

Using pip

pip install jupyterlab

Run JupyterLab¶

When inside a uv project, run:

uv run jupyter lab

With an environment activated, run:

jupyter lab

marimo¶

• https://marimo.io/

• next-generation Python notebooks

• reactive: if a variable is changed on one cell, dependent cells are automatically updated

• built-in interactive elements

• Python-first, outputs are stored as standard Python scripts (.py)

Usage¶

Install marimo:¶

When inside a uv project, run:

uv add marimo

With a conda environment activated, run:

conda install -c conda-forge marimo

Using pip:

pip install marimo

Run marimo¶

Create or edit notebook

marimo edit PYTHON_SCRIPT.py

Run as read-only app

marimo run PYTHON_SCRIPT.py

Run marimo with uv

uv run marimo <MARIMO COMMANDS>