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.

• Python Programming for Economics and Finance
• Introduction to Python
  • About These Lectures
  • Getting Started
  • An Introductory Example
  • Functions
  • Python Essentials
  • OOP I: Objects and Methods
  • Names and Namespaces
  • OOP II: Building Classes
• Foundations of Scientific Computing
  • Python for Scientific Computing
  • NumPy
  • Matplotlib
  • SciPy
• High Performance Computing
  • Numba
  • JAX
  • NumPy vs Numba vs JAX
  • Adventures with Autodiff
• Working with Data
  • Pandas
  • Pandas for Panel Data
  • Polars
• More Python Programming
  • Writing Good Code
  • Writing Longer Programs
  • More Language Features
  • Debugging and Handling Errors
  • SymPy
• Other
  • Troubleshooting
  • Execution Statistics