Data Science Across Disciplines#

Warning

This page is still a stub

This is a small sample book to give you a feel for how book content is structured. It shows off a few of the major file types, as well as some sample content. It does not go in-depth into any particular topic - check out the Jupyter Book documentation for more information.

Table of contents#

Currently, this book is replicating the existing structure consiting of one repo for sessions (Cagatay’s repo) and another one for labs’ content (James) by mapping each repo into two different sections: Sessions and Labs.

Proposed table of contents…

However, I suspect, though, that if we proceed with the handbook, the structure should be based on units/weeks, and every unit should contain both, the session and the labs

- 1: Introduction, Historical Perspectives & Basic Concepts
    - Session
    - Labs
- 2: Thinking data
    - Session (probably on the root?)
    - Labs
...

Anyway, for demoin purposes, this is an automated table of contents below:

Sessions

Labs

Jupyterbook Demo