R and Python Resources

Programming in R

The following give a basic intro to R and RStudio.

• W3Schools Basic R

• Basics of R and installing RStudio

• YouTube: R for Beginners

Beyond the basics of R

• Software Carpentry Novice R

• Software Carpentry Intro to R

• For a longer free course, CodeAcademy has a good Intro to R. Note this is 20 hours. You do NOT need to do this whole course before the hackweek!

• If you know the basics of R but have never done modeling, then you can start with this 2.5 hour course that covers basic linear regression with R and plotting with ggplot2:

• One of the best free R courses is Coursera’s Learn R. You can see the lectures for free. Make sure to click AUDIT when it asks you to sign up for a 7-day trial. You do not need to sign up for anything to go through the material.

Programming in Python

Switch to Jupyter Notebook for an introduction to programming in Python

• Variables (and mathematical operations)
• Data Structures (list, tuple, dict)
• Flow Control using loops (for, while)
• Conditionals (if, else, elif)
• Functions
• Errors and Exceptions (understanding and handling errors)
• Using modules (libraries, packages)
  • pandas: high-performance, easy-to-use data structures and data analysis tools
  • rioxarray: based on the rasterio package for working with rasters and xarray

Beyond the basics in Python

• Self-paced lesson on Programming with Python from Software Carpentry

• Detailed self-paced lesson on Fundamentals of Geospatial Raster and Vector Data with Python from Data Carpentry