#Start jupyter notebook code

The first field highlights the requirement that the Python module must be loaded.

To use Virtual Environments inside a Jupyter Session, please note the two fields highlighted in the image. You can specify the directory for your notebook in the Working Directory field. You can run either a Jupyter Notebook or Jupyter Lab in the Interface field. In the pop-up, once the modules have been selected and ordered correctly, click the Select Modules button to finalize your choices, close the pop-up window and return the main window, as shown below. In that pop-up, type the module name in the search bar as shown below. To see available python or miniconda modules, click on the Select Modules button to open a pop-up window. Specify your preferred python environment by typing in the SCC module you would like to use into the List of modules to load field.Click Interactive Apps > Jupyter Notebook.Open a browser and login to with your BU credentials.To launch Jupyter from SCC OnDemand, you will need to start a Jupyter Notebook Interactive App and load your preferred python environment (i.e. This is our recommended way to use and launch Jupyter. Jupyter is available in many of the most recent python modules on the SCC. The Juypter project was spun out of IPython’s “Notebook” feature and, while supporting a variety of languages, is primarily associated with Python and IPython’s interactive interface.

#Start jupyter notebook code

Jupyter ( ) is the language agnostic framework for managing code “notebooks” of cells, mixed code, text, and graphics.