index.Rmd

--- 
title: 'An Introduction to R and Python For Data Analysis: A Side By Side Approach'
author: "Taylor R. Brown"
site: bookdown::bookdown_site
output:
  html_document:
    toc: true
    toc_depth: 2
    toc_float: true
  bookdown::pdf_book:
    keep_tex: true
documentclass: krantz
classoption: krantz2
lot: yes
lof: yes
fontsize: 12pt
monofont: "Source Code Pro"
monofontoptions: "Scale=0.7"
bibliography:
- book.bib
- packages.bib
biblio-style: apalike
link-citations: yes
github-repo: tbrown122387/r_and_python_book
cover-image: "pics/cover.png"
---

# Welcome {-}

```{r fig.align='center', echo=FALSE, include=identical(knitr:::pandoc_to(), 'html'), fig.link='https://www.routledge.com/An-Intro-duction-to-R-and-Python-for-Data-Analysis-A-Side-By-Side/Brown/p/book/9781032203256'}
knitr::include_graphics('pics/cover.png', dpi = NA)
```

## Teaching a Course With This Textbook {-}

You will notice that some of the exercise questions are unusually specific. For example, they will ask the student to assign the answer in a certain form to a variable with a very specific name. This is because they are written with automatic grading in mind. 

All of the exercises in this text have been very generously "battle tested" by the Fall 2021 STAT 5430 class at the University of Virginia. 



## License(s) {-}

<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />The textbook is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>. The code used to generate the text is licensed under a Creative Commons Zero v1.0 Universal license.