References and Resources

Here are scripts to re-use and links to additional references and topics to learn.

1Jupyter Notebooks

2Setting up Your Environment with Conda

3Introduction to Git and GitHub

4Introduction to Binder

5Working with RMarkdown

6Introduction to Docker

7Development Best Practices including FAIR Data Principles

About this course

This is a free, open source course on how to use different Data Science Tools such as Jupyter Notebooks, Rmd, Docker, and Git. It's made possible by a long and fruitful collaboration and possible thanks to NSF and EarthCube. Contributions and comments on how to improve the course are welcome! To file an issue go to:

About me

For nearly a decade, the EarthCube community has been transforming the conduct of geosciences research by developing and maintaining a well-connected and facile environment that improves access, sharing, visualization, and analysis of data and related resources. While sharable tools, methods, and cyberinfrastructure have been critical achievements for EarthCube, we find that our dedicated community is what makes our program successful.