About This Course

In this course, you will learn about open reproducible science and become familiar with a suite of open source tools that are often used in open reproducible science (and earth data science) workflows including Shell, git and GitHub, Python, and Jupyter (Access this course on GitLab).
Learning objectives:
After completing this chapter, you will be able to:

• Define open reproducible science and explain its importance.
• Describe how reproducibility can benefit yourself and others.
• List tools that can help you implement open reproducible science workflows.