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Earth Science Data Fundamentals Practice

This repository is personal practice running through the various tutorials and assignments from An Introduction to Earth and Environmental Data Science.

This course practices LINUX command line skills, git and version control, python data analysis (e.g. Xarray, plotting, etc.), different Earth science data types (e.g. netCDF), and parallel programming.

Contact: aidan.janney@colorado.edu

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Practicing tools like Xarray and data analysis with netCDF files using an online textbook through Columbia University. An Introduction to Earth and Environmental Data Science is an open-source community resource for python and basic workflow tools in Earth based Data Science. Source: https://earth-env-data-science.github.io/intro.html

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