resource_list.Rmd

---
title: "Living resources list"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

Here, we'll keep a living list of useful resources and learning materials in Environmental Data Science. 

### General R resources

- "One-stop-shop" for R resources: [The Big Book of R](https://www.bigbookofr.com/) by [Oscar Baruffa](https://twitter.com/OscarBaruffa)

- [R for Data Science](https://r4ds.had.co.nz/) by [Garrett Grolemund](https://github.com/garrettgman) and [Hadley Wickham](http://hadley.nz/)

- [Advanced R](http://adv-r.had.co.nz/) by [Hadley Wickham](http://hadley.nz/)

- [RStudio Education](https://education.rstudio.com/)

### General Python resources

- [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) by [Jake VanderPlas](http://vanderplas.com/)

- ["Getting Started" resources from Python.org](https://www.python.org/about/gettingstarted/)

### GIS resources

- [Geocomputation in R](https://geocompr.robinlovelace.net/intro.html) by [Robin Lovelace](https://www.robinlovelace.net/)

*More coming soon*

### SQL resources

*More coming soon*

### git/GitHub resources

- [Happy git and GitHub for the R user](https://happygitwithr.com/) by [Jenny Bryan](https://jennybryan.org/about/)
 UBC Stat 545 TAs, and [Jim Hester](https://www.jimhester.com/)
 
 *More coming soon*