Powered by Jupyter Book

Back to top

Python Programming for Economics and Finance

Thomas J. Sargent and John Stachurski

Search

Ctrl+K

Creative Commons License – This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International.

A theme by QuantEcon

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

Foundations of Scientific Computing

9. Python for Scientific Computing
10. NumPy
11. Matplotlib
12. SciPy

High Performance Computing

13. Numba
14. JAX
15. NumPy vs Numba vs JAX

Working with Data

16. Pandas
17. Pandas for Panel Data

More Python Programming

18. Writing Good Code
19. Writing Longer Programs
20. More Language Features
21. Debugging and Handling Errors
22. SymPy

Other

23. Troubleshooting
24. Execution Statistics

QuantEcon

Lecture (PDF)
Book (PDF)

Notebook Launcher

Choose public or private cloud service for "Launch" button.

Select a server

Public
Private

Launch Notebook