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Contents

Introduction to Python

1. About These Lectures
2. Getting Started
3. An Introductory Example
4. Functions
5. Python Essentials
6. OOP I: Objects and Methods
7. Names and Namespaces
8. OOP II: Building Classes
9. Writing Longer Programs

The Scientific Libraries

10. Python for Scientific Computing
11. NumPy
12. Matplotlib
13. SciPy
14. Pandas
15. Pandas for Panel Data
16. SymPy

High Performance Computing

17. Numba
18. Parallelization
19. JAX

Advanced Python Programming

20. Writing Good Code
21. More Language Features
22. Debugging and Handling Errors

Other

23. Troubleshooting
24. Execution Statistics

Python Programming for Economics and Finance

JAX

and

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19. JAX

New website

We have replaced this lecture with a new lecture series on quantitative economics using JAX:

See Quantitative Economics with JAX

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