> For the complete documentation index, see [llms.txt](https://berkeleydsep.gitbook.io/zero-to-data-8/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://berkeleydsep.gitbook.io/zero-to-data-8/textbook.md).

# The Data 8 Textbook

The Data 8 course supplements every lecture with a corresponding few chapters in it's textbook, [Inferential Thinking](https://inferentialthinking.com). Written by [Ani Adhikari](https://statistics.berkeley.edu/people/ani-adhikari) and [John Denero](http://denero.org/), every new semester of Data 8 utilizes its interactive capabilities to help cement topics of the class for all students.

```
The textbook is provided under a CC-BY-ND-NC clause - see [](types-of-content) for more information.
```

## The Book's Software

Inferential Thinking is built upon several software libraries which are actively maintained. The main library used to build the book is called [Jupyter Book](https://jupyterbook.org/intro.html), which is also the same software used to create this Zero-to-Data-8 guide! The language used to teach the course is Python, and is supplemented using a library called `datascience`, which is a library authored by [John Denero](http://denero.org/), David Culler, Alvin Wan, and Sam Lau. The library's source code can be found at the attached link [here](https://pypi.org/project/datascience/).


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