Day 1: Meet our tools & workflows

Day 1 topics

• What is scientific programming?
• R & Python for environmental data science
• R Markdown & Jupyter Notebooks
• Workflow pieces (e.g. R Projects, here, .Rmd)

Day 1 lecture slides:

• Day 1 (morning lecture)
• Day 1 (afternoon lecture)

Day 1 lab materials:

• Day 1 (morning lab)
• Day 1 (afternoon lab)

Flex sessions

• Morning flex: Add a blog to your website
• Afternoon flex: Git branches for solo & collaborative work

Activities:

• A full code-free workflow
• Save this workflow (a coworker has emailed you their .Rmd and the data they’ve used to create an HTML - also attached). Help them out by making this project reproducible, identifying key places where the workflow breaks down or can be improved (assuming they know git / GitHub).