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.
1. Click the green "Start Server" button to launch a Jupyter session. When you are done working in Jupyter, click the red "Stop My Server" button.
2. Once logged into Jupyter Hub your default dashboard will look something like this:
Your Jupyter mydata directory is your DesignSafe Data Depot "My data" directory. Edits, deletions, etc. made in one directory are immediately reflected in the other. All your work should be performed and saved within your "mydata" directory. Data is not preserved between Jupyter server sessions except within the mydata directory.
Data Depot mydata directory
Jupyter Hub mydata directory
Create new notebooks in Python2, Python3, Bash, or R; or start an interactive Linux terminal by clicking on the "New" button at the top-right of the page, then selecting the notebook type or terminal. The notebooks are created in the directory that you have navigated into, so be sure to navigate into "mydata" before creating a new notebook. OpenSees binaries are available in your path for interactive OpenSees work. Please note that server started is a lightweight virtual machine, limited in processing power and memory. Please be respectful of other users on the system.
Last update: June 6, 2016