QuantEcon hosts lecture series on economics, finance, econometrics and data science. All lecture series are based on open source languages and open computing environments.
These lectures have benefited extensively from the input of many contributors and the financial support of the Alfred P. Sloan Foundation.
This lecture series on Python programming for economics and finance is the first text in the series, which focuses on programming in Python.
This is one of a series of online texts on modern quantitative economics and programming with Python. This is the second text in the series, which focuses on introductory material.
This is one of a series of online texts on modern quantitative economics and programming with Python. This is the third text in the series, which focuses on advanced topics.
A set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski
Introduction to Economic Modeling and Data Science
This lecture series provides a short introduction to the fascinating field of continuous time Markov chains.
