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.

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