Jupyter Notebook is the reference environment for interactive computing and data science. It brings together in a single document — the notebook — executable code, its results, visualizations, and explanatory text in Markdown format. It is the essential tool for data scientists, researchers, analysts, and educators to explore data, prototype, and document their work.

Although centered on Python, Jupyter supports dozens of kernels (R, Julia, and others) and relies on a rich ecosystem: Pandas, NumPy, scikit-learn for analysis and machine learning, Matplotlib, Plotly for visualization. For heavier workloads, a GPU allows you to train deep learning models directly within the notebook.

In JupyterLab version and with JupyterHub, the tool becomes a true multi-user data workstation. Self-hosted at DINAO, it ensures that your datasets — often sensitive — and your analyses remain in France, on a dedicated instance, rather than on a foreign analysis cloud.