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dynamical.org datasets example notebooks

Python jupyter notebooks demonstrating the use of dynamical.org datasets via the dynamical-catalog Python library. Browse the dataset catalog at dynamical.org/catalog.

Getting started

We suggest using uv to install python and dependencies in a consistent, isolated way that won't impact any other python installations on your system.

  1. Install uv: https://docs.astral.sh/uv/getting-started/installation/ (it's a one liner)
  2. Run it
    • In your browser: In a terminal run uv run --with jupyter jupyter lab then follow the link jupyter will print to open these notebooks in your browser.
    • In your editor/IDE: In a terminal run uv sync then open this folder in your editor and when asked to select a python interpreter choose .venv/bin/python on macOS and Linux, or .venv\Scripts\python on Windows.

Google Colab

Each notebook includes an install cell at the top. Run it to install dependencies. You can get a direct link to open any notebook in Colab from the examples section of each dataset catalog entry.

SageMaker Studio Lab

Clone this repository, then create a conda environment from the included environment.yml:

conda env create -f environment.yml
conda activate dynamical-notebooks

Then select the dynamical-notebooks kernel when opening a notebook.