Intro-checklist.md

Introduction & background to reproducible research with Jupyter Notebooks and Python.

By the end of this module you should be able to:

Understand the concept, importance, and components of reproducible research.

• Define reproducible research.
• Name and describe the four facets of reproducible research.
• Explain why reproducibility is important to the research community.
• List three ways that implementing reproducible practices can benefit your research.

Understand the strengths of Jupyter Notebooks as a tool for reproducible research.

• Name and describe the components of a Jupyter Notebook and how they interact.
• Explain the concept of a Jupyter ecosystem.
• List five strengths of using Jupyter Notebooks for conducting reproducible research.

Create and navigate through a Jupyter Notebook containing Markdown and Code cells.

• Use tables and keyboard shortcuts to run cells and format text within cells.
• Create a markdown cell including headers, lists, embedded code, LaTeX.
• Understand the function of a kernel, manage & interrupt if necessary.

Access the broader Jupyter and Python communities.

• List three resources (online or local) you can use as you develop your Jupyter/Python research project.