This repository contains a set of programmatic tutorials in the form of jupyter notebooks that show how to access, retrieve, and explore different datasets served by the Gaia ESA Archive.
Each notebook in this repository is self-contained and includes detailed instructions and examples.
- Miniconda or Anaconda installed
- Python 3.x
To create the conda environment, run the following command:
CONDA_SUBDIR=osx-64 conda env create -f data-release-3-tutorials/environment.ymlTo activate the environment:
conda activate gaia_archive_tutorialThis project is licensed under the terms included in the LICENSE.txt file.
To generate the list of third-party dependencies and their licenses, run:
pip install pip-licenses
pip-licenses --format=markdown --output-file=third-party-licenses.mdIn case of questions or issues, please open an issue in the repository or contact the maintainers through the Gaia Helpdesk at [email protected].