Overview
Last updated
Last updated
The following demonstration documents a step-by-step guide to setting up a virtual “Econometrics Lab” hosted by , one of many cloud computing providers. Ultimately, students will be able to connect to an environment to perform live coding on with , , and kernels.
This demonstration corresponds to workflow 3 outlined in “Econometric Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists,” by , , , , and published in the . The instructions may be modified to suit different teaching styles and classroom needs.
This section showcases a fully operational server and the optional GitHub integration.
Standard Functionality
(Optional) GitHub Integrated Functionality
A student with their free GitHub account setup can select the "Sign in with GitHub" to be prompted to authorize the server to use GitHub when logging in. After selecting the button to authorize, the student will be directed to the JupyterHub interface and may begin working.
The GitHub extension allows the student to access repositories as demonstrated above. By typing in a username, the student will be granted access to all of the public repositories that person has. A students can gain access to assignments directly from their instructor's GitHub.
After entering the lab with a pre-assigned username and password, students may generate new Jupyter Notebooks using Python, R, or Stata. They also may upload notebooks from their local machine or clone repositories from and work on those. None of this requires installation of any software on the local machine.
Demonstrated below is the additional functionality granted by following the optional sections, and .
