The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

This Jupyter app is based on the Jupyter Docker Stacks (see details). By default, this Biosphere app uses the stack jupyter/datascience-notebook but users can choose any other existing stack with an Advanced deployment in Biosphere portal.

Main jupyter stacks are:

• jupyter/minimal-notebook: Minimally-functional Jupyter Notebook server, Miniconda Python 3.x, Pandoc and TeX Live for notebook document conversion
• jupyter/r-notebook: Everything in jupyter/minimal-notebook and popular packages from the R ecosystem.
• jupyter/scipy-notebook: Everything in jupyter/minimal-notebook and popular packages from the scientific Python ecosystem.
• jupyter/datascience-notebook: Everything in the jupyter/scipy-notebook and jupyter/r-notebook images, plus libraries for data analysis from the Julia, Python, and R communities.
• jupyter/tensorflow-notebook: Everything in jupyter/scipy-notebook and popular Python deep learning libraries.

>>GPU-enabled<< : With the adapted VM flavor and Jupyter environment (jupyter/pytorch-notebook or jupyter/tensorflow-notebook:cuda-latest), you will benefit from the GPU computing performance for your analyses.

See a detailed list of available Jupyter stacks there.

This IFB cloud appliance provides both the Jupyter Notebook and Lab environment (see explanations). Biosphere's users can switch these environments simply by changing the relative URL of the service from '/tree' to '/lab'.

This app is deployed according to the Infrastructure as Code principle. The deployment and configuration are based on the following git repository:
https://gitlab.in2p3.fr/ifb-biosphere/apps/jupyter-ifb