Welcome and introduction!

Introductions

Scope & goals

Structure & schedule

Expectations

Technology

A brief technology overview

Motivations/restrictions: local compute, etc.

• JupyterLite
• Python
• Pandas
• Matplotlib
• GitHub
• Markdown

Demo

Demo/overview of next two days to show you how all of these buzzwords work together.

Hands-on introduction to technology

• Jupyterlite
• Jupyter notebooks: introduction to interface
  • hello world
  • doing basic math, simple plots
  • more complicated things: loading data, stats, more complicated visualization
• Technical details, mark 1
  • Where are files located? More.
  • caching
• JupyterLab interface: same computer, different look
• More Jupyter Notebooks:
  • executing single cell, multiple cells
  • order of compute
  • general advice: restart and run all
• Teaching strategies
  • questions and answers
  • pre-staged data
  • faded examples
• Manipulating and working with Jupyter nb
  • downloading and uploading files/figures
  • printing and/or saving
  • saving/clearing data etc.
• github, Browser local, clearing cache (chrome, firefox, safari, ??), incognito, updating files how and when