Data Intensive Tutorials

Scientific programming can be used to efficiently work with many different types of data. Rather than performing tasks manually, you can write code that opens, cleans and processes your data. However, often figuring out how to perform a specific task in R, Python or another programming language can be tricky. In the tutorials below, you will learn how to use R, Python and Javascript programming languages to perform specific tasks including calculating slope in a digital elevation model or using Leaflet to create an interactive map.

If there is a tutorial you’d like to see covered, reach out to us on Twitter @EarthLabCU.


Tutorials that cover data intensive topics

Getting started with the PetaLibrary

This tutorial explains how members of Earth Lab can gain access to the PetaLibrary at the University of Colorado Boulder. It also outlines the process for setting up Globus to transfer files between endpoints (e.g., your local machine and the PetaLibrary).