Overview

The lessons in chronological order so far¹ (the list will be complete at the end of the semester):

1. 00 Installing the environment
2. 01 The Unix Shell
3. 01' Intermediate Shell Hacks (optional)
4. 02 Git Basics
5. 03 The first Python program
6. 04 Python I — Variables, Expressions, and Python data types
7. 04 Python II — Flow control
8. 04 Python III — Functions
9. 04 Python IV — Modules and Objects
10. 05 Debugging Primer
11. 06 Introduction to NumPy
12. 06 Stochastic Dynamics with NumPy
13. 07 Numbers
14. 08 Errors
15. 09 Differentiation
16. 10 Ordinary Differential Equations (ODEs)
17. 11 Molecular Dynamics (MD) Simulations
18. 12 ODEs: Applications
19. 13 Root finding by trial-and-error
20. 14 Linear Algebra
21. 15 Partial Differential Equations (PDEs)
22. 16 Solving PDEs with time stepping
23. 17 PDEs: Wave equation

Sometimes lessons span more than one lecture but this is not explicitly marked. The dates associated with each lesson indicate the day when the lesson was introduced for the first time.

Most of the teaching material is available as Jupyter notebooks and linked from the lesson pages (typically, near the bottom). For lessons in progress, links initially only point to incomplete materials. Full materials including solutions to in-class problems are always made available after the completion of the lesson.