Section One - An Introduction to Open Reproducible Science Workflows
In section one of this textbook, you will learn about open reproducible science. You will learn about a suite of open source tools that are often used in open reproducible science workflows including
Python, and the
Jupyter ecosystem, including
Jupyter Notebook. You will also learn about best practices for open reproducible projects and workflows.
After completing this section of the introduction to earth data science online textbook, you will be able to:
- Define open reproducible science and explain its importance.
- Describe how reproducibility can benefit you and others.
- Identify best practices for open reproducible science projects and workflows.
Bashcommands in the terminal to work with files and directories on your computer.
- Launch and navigate the
Jupyter Notebookdashboard to access and create
- Run cells within
Jupyter Notebookto execute
Pythoncode and render
Table of Contents
|Section 1: Open Reproducible Science Workflows|
|Chapter 1: Open Reproducible Science|
|Chapter 2: Bash / Shell|
|Chapter 3: Jupyter for Python|