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This wiki is a collection of information that is meant to be useful for new and current connector instructors, especially on the technical/computing side of things. It contains information for setting up your connector course, a bit about the technical infrastructure that we're using, and pointers to help you in your teaching. There is also a collection of useful little scripts for doing routine things, some example jupyter notebooks, and tutorials for you here (or click on the code tab above).

Interactive notebooks

If you're interested in running the tutorials or examples for the connectortools module, click the image below to enter an interactive browsing session.

Some of the material is still under development. If you have a question about something, or a suggestion for something to add, please open an issue by clicking on the issues tab, then clicking new issue. Or if you're really not GitHub-savvy, feel free to ask your connector assistant to do that for you, or contact us (at the bottom of this page).

Who is this for?

These guides are intended for connector instructors and their course staff interested in creating material that utilizes the same technology infrastructure as the Foundations (Data 8) course.

Specifically, if you would like to use Jupyter notebooks and optionally the datascience package (in python) in your course, this guide is for you. Follow the links to the right to find this information.