QuantEcon Lectures

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.

Lecture Series

Python Programming for Economics and Finance

This lecture series on Python programming for economics and finance is the first text in the series, which focuses on programming in Python.
Quantitative Economics with 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.
Advanced Quantitative Economics with Python

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.
Quantitative Economics with Julia

A set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski
QuantEcon DataScience

Introduction to Economic Modeling and Data Science
Continuous Time Markov Chains

This lecture series provides a short introduction to the fascinating field of continuous time Markov chains.