Python Programming for Economics and Finance

These lectures are the first in the set of lecture series provided by QuantEcon.

They focus on learning to program in Python, with a view to applications in economics and finance.

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