Open Source Tools for
Computational Economics

Lecture series, textbooks, and code libraries in Python and Julia —
used by researchers, central banks, and universities worldwide.

Lectures Workshops Books Code
8
Lecture Series
5+
Books & Textbooks
30+
Workshops Delivered
2
Code Libraries

Lecture Series

Python Programming for Economics and Finance Python

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

A First Course in Quantitative Economics with Python Python

This lecture series provides an introduction to quantitative economics using Python.

Intermediate Quantitative Economics with Python 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 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 JAX Python

This website presents a set of lectures on quantitative economic modeling using GPUs and Google JAX.

Continuous Time Markov Chains Python

These lectures provides a short introduction to continuous time Markov chains.

Quantitative Economics with Julia Julia

This website presents a set of lectures on quantitative economic modeling using Julia

Introduction to Economic Modeling and Data Science Python

This website presents a series of lectures on programming, data science, and economics.

View all lectures

Books & Textbooks

Dynamic Programming, Volume II: General States NEW

Thomas J. Sargent and John Stachurski

Volume II extends the finite state framework to general state spaces, covering abstract dynamic programs, stochastic discounting, valuation, recursive decision processes, and continuous time.

Quant Macro Finance NEW

Lars Peter Hansen, Thomas J. Sargent, and Jaroslav Borovička

An online research resource featuring chapters from *Risk, Uncertainty and Value*, developing concepts and tools for uncertainty characterization in nonlinear stochastic equilibrium models.

Dynamic Programming, Volume I: Finite States

Thomas J. Sargent and John Stachurski

Volume I covers dynamic programming theory and applications for finite state spaces, including operators and fixed points, Markov dynamics, optimal stopping, and Markov decision processes.

Economic Networks

John Stachurski

This book is an introduction to economic networks and it emphasizes quantitative modeling, with the main underlying tools being graph theory, linear algebra, fixed point theory and programming.

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Workshops

QuantEcon runs remote and in-person workshops and short courses on quantitative economics and high-performance computing using Python and Julia.

Past locations include the IMF, Bank of Portugal, Hitotsubashi University, Columbia University, Reserve Bank of Australia, Stanford, Princeton, Harvard, MIT, Berkeley, UCLA, and the Central Bank of Chile.

Contact us

Recent Workshops

  • International University of Japan Feb 2026
  • International Monetary Fund Dec 2025
  • Bank of Portugal Oct 2025
  • Hitotsubashi University Sep 2025
  • Kyoto University Jun 2025
View all workshops →

Open Source Projects

Code Libraries

High-performance open source code libraries for quantitative economics in Python and Julia.

Executable Books

QuantEcon is a founding member of the Executable Books Project, which develops Jupyter Book.

Infrastructure

Tools and infrastructure for computational education, including Jupyteach and analytics.

Latest News

13 Mar 2026 books

Dynamic Programming Volume II: General States Now Available

Volume II of Dynamic Programming by Thomas J. Sargent and John Stachurski is now available for free download, covering general state space theory and applications....

23 Feb 2026 lectures

Julia Lectures Now Available on Google Colab

The Julia lecture series now supports Google Colab, allowing you to run Julia notebooks directly in the browser with no local setup required.

17 Feb 2026 tools

New Tool: MyST Markdown Plugin for Neovim

QuantEcon has released myst-markdown-tree-sitter.nvim, a Neovim plugin that provides syntax highlighting and filetype detection for MyST Markdown files using a tree-sitter backend.

View all news