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Earth and Environmental Data Science

An Introduction to Earth and Environmental Data Science

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Final Projects

The Interactive Computing Environment

Intro to JupyterLab
Intro to Unix
Intro to Git for Version Control
Assignment: Files, Git, and Github
Managing Python Environments
Binder for Reproducible Research
All About Data

The Core Python Language

Python Fundamentals
Python Functions and Classes
Organization and Packaging of Python Projects
Assignment: Basic Python

Scientific Python Fundamentals

Numpy and Matplotlib
Assignment: Numpy and Matplotlib
More Matplotlib
Assignment: More Matplotlib

High Level Data Analysis Frameworks

Pandas
Xarray for multidimensional gridded data

Geoscience Package

Maps in Scientific Python
Assignment: Making Maps with Cartopy

Climate Model Data

Working With Earth Science Model Output
Working with output from many different CMIP6 climate models
Assignment: Calculate wet bulb temperature for CMIP6 models
Model validation: Comparing a state estimate to observations
Calculating properties in the native model grid using xgcm

Big Data

Dask for Parallel Computing in Python
Computing with Dask

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By Ryan Abernathey
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