![]() Students and faculty need only one URL, which handles logging them in using their UW NetID, then starts up their own Jupyter environment as configured for the course, redirecting them to it when it is ready.The diagram above illustrates a typical course configuration. Instructors can also specify a Git repository be synced with each student’s environment in order to distribute course materials automatically. When a user logs into their Notebook using the JupyterLab, Classic Jupyter Notebook, or RStudio web interface, they will have access to interactive notebooks and scripts, the pre-installed software and tools, a Linux filesystem and terminal, and custom components that are provided by the Notebook image that was selected. The different Notebook images provide for different suites of installed software and Python packages using Pip or Conda, based on the teaching requirements. When requesting a Hub for their course(s), instructors can choose from one of several preconfigured Notebook types or create one of their own and use that instead (we refer to these as Notebook images). A JupyterHub for the entire course is also created, which allows users to log in with their UW NetID and provides shared tools and management capabilities for instructors. These environments are made available for UW courses by request and at no cost, and allow faculty and students enrolled in the course to access a Jupyter Notebook environment of their own. ![]() The UW JupyterHub for Teaching service provides UW hosted computational environments that require only a web browser to access. Watch a short video showing Jupyter Notebooks in action. This guide is intended for people who would like to use Jupyter Notebooks as a managed service to support teaching and learning at the University of Washington, but are unfamiliar with the technology.
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