plan.md

1. Background
2. Tools
   • Editors, comparison IDEs (short)
     • VS Code
     • Stata / Matlab / RStudio
     • In the end, VS Code encompasses most features of IDE + same for all languages
   • Using LLMs effectively [long run]
   • Using copilot effectively [long run]
   • Communicating effectively (emails vs zoom vs in-person vs zulip) (Video)
   • Licenses (Look up stuff)
3. Git and GitHub
4. Python: Installation and Execution
   • Change to Pixi.
5. Python basics
   • More on f-strings (could also do as an exercise)
   • Reading object-oriented code [long run]
6. Intermediate Python
   • Decorators (record anew, further material: Harrison)
   • Custom data containers
   • Annotations
7. Software engineering
   • Avoid nested if conditions (record anew)
   • formatting via pre-commit hooks (record anew)
   • dags [long run] - pytrees [long run] - Don't be too smart (link) (set up examples, make scorecards / notebooks out of those, record short video)
   • When to code up something yourself and when to use a library [long run], (record screencast with recipes)
8. Reproducible research
   • Definition of "reproducible" - Pytask overview
   • Tiny Pytask example
   • Generating many tasks at once
   • Templates
9. Data management with pandas
10. Data Science

• Machine learning with Scikit-learn
• Econometrics with linearmodels
• Econometrics with statsmodels

12. Scientific computing

• Numpy/scipy
• Optimisation
• Optimagic
• Speedup

13. Plotting
14. Text data and texts

• Encodings
• Regexes [long run]
• Simple Markdown
• MystMD
• Slidev
• LaTeX
• Detour: How to read a paper
• Detour: How to structure a paper
• Tables