These activities were developed by Helen Hu and Tricia Shepherd for a Scientific Computing course using Python and Jupyter. For access, contact Helen Hu.
| Stage | Activity Name |
|---|---|
| 3: Refined | 1. Introduction to Python |
| 3: Refined | 2. Writing Useful Functions |
| 3: Refined | 3. Type Casting (with coordinates) |
| 3: Refined | 4. Conditional Statements |
| 3: Refined | 5. Conditional Statements (bisection method) |
| 3: Refined | 6. While Loops |
| 3: Refined | 7. Debugging |
| 3: Refined | 8. Pseudocode |
| 3: Refined | 9. Lists |
| 3: Refined | 10. Strings & Biomolecules (DNA) |
| 3: Refined | 11. More Sequences - Tuples, Dictionaries (periodic table) |
| 3: Refined | 12. Unix Commands |
| 3: Refined | 13. Files (periodic table, atomic properties) |
| 3: Refined | 14. Packages & Data Analysis (pandas) |
| 3: Refined | 15. Object Oriented Programming (periodic table, atomic properties) |
| 3: Refined | 16. Recursion |
| 3: Refined | 17. Random Processes, Modeling, Plotting |
| 3: Refined | 18. Non-uniform Distributions |
| 3: Refined | 19. Monte Carlo (approximating pi, rejection method) |
| 3: Refined | 20. Equilibrium I |
| 3: Refined | 21. Equilbrium II |
| 3: Refined | 22. Random Walks |
| 3: Refined | 23. Free Fall I |
| 3: Refined | 24. Advanced Lists |
| 3: Refined | 25. Free Fall II |
| 3: Refined | 26. 2D Random Walks |