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This guide collects provides a basic overview of how to utilize the Datahub infrastructure that powers Data 8, Connector courses, Modules, and more.
There are useful scripts for doing routine things, some example Jupyter notebooks, tutorials, and teaching pointers.
To navigate the guide, follow the links to the right.
To go straight to the code, go here (or click on the code
tab above).
This guide is for connector associates (CAs) and interested connector instructors and course staff who want to create material that uses the same technology infrastructure as the Foundations (Data 8) course.
Specifically, if you want to use Jupyter notebooks and
optionally the datascience
package (in python) in your course, this
guide is for you.
This guide may also become the home for other info for connector instructors, such as tips on working with your connector associates (CAs).
In addition to the resources in this wiki, there is also a codebase that is meant to be useful for connector instructors. This currently includes three things:
- A collection of general "tutorial" notebooks that cover common computational problems and challenges in python
- A python module called
connectortools
that has functions meant to be helpful in your classes - A collection of example notebooks that demonstrate the functionality in the
connectortools
module.
You can find a link to this code here (or click the "code" tab to the top left).
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 in this wiki is still under development. If you have any questions or suggestions for what to add, you can reach out to your connector associate or contact us on Piazza.