Jupyter Overview

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

Learn How to Use Jupyter

Read step-by-step instructions on getting started and a detailed breakdown of version differences in the User Guide.

User Guide

Video Tutorials

WEBINAR - Unleashing Python and Jupyter in DesignSafe, March 1, 2017

WEBINAR | PART 1 - Jupyter, Python, and the Scientific Workflow, Oct. 26, 2016

WEBINAR | PART 2 - Jupyter, Python, and the Scientific Workflow, Oct. 26, 2016

A Jupyter/Tapis workflow for processing, visualization, & analysis of experimental & field wind data

WEBINAR - Launching numerical simulations using Jupyter, March 28, 2018

WEBINAR - Data Analysis and Plotting using Jupyter and R, Nov. 9, 2016

WEBINAR - Leveraging Python, Jupyter Notebooks, DesignSafe, & the SimCenter, October 29, 2019

WEBINAR - Unleashing DesignSafe using Jupyter and R, March 29, 2017

Using DesignSafe’s JupyterHub and Python for Natural Hazards Research | April 14, 2022

WEBINAR - Leveraging OpenSees, Jupyter and DesignSafe: A Real World Walkthrough, May 3, 2017

Jupyter Official Resources

Jupyter Website

Jupyter GitHub

Jupyter Documentation

How to Cite Jupyter & DesignSafe

Please include both of these citations if you use Jupyter on DesignSafe.

Jupyter:

Kluyver, Thomas, Ragan-Kelley, Benjamin, Pérez, Fernando, Granger, Brian, Bussonnier, Matthias, Frederic, Jonathan, Kelley, Kyle, Hamrick, Jessica, Grout, Jason, Corlay, Sylvain, Ivanov, Paul, Avila, Damián, Abdalla, Safia, Willing, Carol and Jupyter development team, (2016) Jupyter Notebooks – a publishing format for reproducible computational workflows. Loizides, Fernando and Scmidt, Birgit (eds.) In Positioning and Power in Academic Publishing: Players, Agents and Agendas. IOS Press. pp. 87-90 . (doi:10.3233/978-1-61499-649-1-87).

DesignSafe:

Rathje, E., Dawson, C. Padgett, J.E., Pinelli, J.-P., Stanzione, D., Adair, A., Arduino, P., Brandenberg, S.J., Cockerill, T., Dey, C., Esteva, M., Haan, Jr., F.L., Hanlon, M., Kareem, A., Lowes, L., Mock, S., and Mosqueda, G. 2017. “DesignSafe: A New Cyberinfrastructure for Natural Hazards Engineering,” ASCE Natural Hazards Review, doi:10.1061/(ASCE)NH.1527-6996.0000246.

Select a Version

Jupyter Lab HPC (CPU)

Get Started

Launch an interactive Jupyter instance running on a Stampede3 compute node. Community Data, Publications, and your HPC Work directory will be available within the session.

Jupyter Lab HPC (GPU)

Get Started

Launch an interactive Jupyter instance running on a Frontera RTX node with CUDA enabled. Community Data, Publications, and your HPC Work directory will be available within the session.

Jupyter Lab HPC Native (GPU)

Get Started

Run an interactive Jupyter Notebook session with optional MPI support.

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