This online resource serves as a a guide for others that wish to adopt a data science classroom environment, and a "snapshot" of UC Berkeley's Data 8 technology stack. For a guide on the pedagogical and curriculum considerations, there is a separate guide here.
This guide is written with all levels of technical understanding in mind, so even if you are new to creating a computational course, this guide is for everyone!
This guide is maintained by the members of UC Berkeley's Data Science Education Program (DSEP), which was adopted from the contents of v1 of the Zero to Data 8 guide.
If you'd like to make a change or notice any missing content, please submit a Github Issue to this repository!
The current version of this book runs on Jupyter Book version v0.7.0b1
This guide is created under the BSD-3 License.