Add front cover

README.md

@@ -2,23 +2,17 @@
 
 **By [Sam Lau][sam], [Joey Gonzalez][joey], and [Deb Nolan][deb].**
 
-Learning Data Science is an introductory textbook for data science that will
-be published with O'Reilly Media in 2023. It covers foundational skills in
-programming and statistics that encompass the data science lifecycle.
+<img alt="Front cover of textbook" src="content/book-cover.png" height="400px">
 
-Learning Data Science was originally written as a textbook for [Data 100, the
-Principles and Techniques of Data Science course at UC Berkeley][ds100]. The
-reader's assumed background is detailed in the [About This Book][about] page.
+Learning Data Science is an introductory textbook for data science
+published by O'Reilly Media in 2023. It covers foundational skills in
+programming and statistics that encompass the data science lifecycle. The
+reader's assumed background is detailed in the [Preface][preface].
 
 The contents of this book are licensed for free consumption under the following license:
 [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/)
 
-To set up the textbook for local development, see the [the setup guide][setup].
-
 [sam]: http://www.samlau.me/
 [joey]: https://people.eecs.berkeley.edu/~jegonzal/
 [deb]: https://www.stat.berkeley.edu/~nolan/
-[data8]: http://data8.org/
-[ds100]: http://www.ds100.org/
-[setup]: https://github.com/DS-100/textbook/blob/master/SETUP.md
-[about]: /about_this_book
+[preface]: /preface

content/intro.md

@@ -2,8 +2,10 @@
 
 **By [Sam Lau][sam], [Joey Gonzalez][joey], and [Deb Nolan][deb].**
 
-Learning Data Science is an introductory textbook for data science that will be
-published with O'Reilly Media in 2023. It covers foundational skills in
+<img alt="Front cover of textbook" src="book-cover.png" height="400px">
+
+Learning Data Science is an introductory textbook for data science
+published by O'Reilly Media in 2023. It covers foundational skills in
 programming and statistics that encompass the data science lifecycle. The
 reader's assumed background is detailed in the [Preface][preface].