QuantEcon News

  • Modern Computational Economics with Python. December 2025, International Monetary Fund

    Dec 17, 2025

    Open source scientific computing environments built around the Python programming language have expanded rapidly in recent years. They now form the dominant paradigm in artificial intelligence and many fields within the natural sciences. Economists can greatly enhance their modeling and data processing capabilities by exploiting Python's scientific ecosystem. This course will cover the foundations ...

  • Computational Economics and AI. June 2025, Kyoto University

    Dec 17, 2025

    The recent surge in artificial intelligence research and investment has driven emergence of groundbreaking scientific computing environments in recent years, each equipped with advanced features like automatic differentiation, parallel computing capabilities, and just-in-time compilation. This workshop will deliver a concise survey of these evolving AI-driven computational tools and explore their potential ...

  • Computational Economics and the AI Revolution. June 2025, International University of Japan

    Dec 17, 2025

    Several important new scientific computing environments have appeared in recent years, generated by demand from and investment in artificial intelligence. This workshop will provide a brief overview of these environments and their features, including automatic differentiation, parallel computing, and just-in-time compilers. We will discuss how these tools might be applied to economic applications.

  • The AI-driven Revolution in Scientific Computing. November 2024, Reserve Bank of Australia

    Dec 17, 2025

    Several important new scientific computing environments have appeared in recent years, generated by demand from and investment in artificial intelligence. This workshop will provide a brief overview of these environments and their features, including automatic differentiation, parallel computing, and just-in-time compilers. We will discuss how these tools can be applied to a range of economic applications....

  • Computional Economics Workshop. August 2024, University of Melbourne

    Dec 17, 2025

    Several new open source scientific computing environments have appeared in recent years, generated by demand from and investment in artificial intelligence and related fields. Economists can greatly enhance their modeling and data processing capabilities by exploiting these new computational tools. This workshop will provide a brief overview of core topics, including automatic differentiation, parallel ...

  • Central Bank of Chile 2024 Scientific Computing Workshop. Central Bank of Chile 2024 Scientific Computing Workshop

    Dec 17, 2025

    Open source scientific computing environments built around the Python programming language have expanded rapidly in recent years. They now form the dominant paradigm in artificial intelligence and many fields within the natural sciences. Economists can greatly enhance their modeling and data processing capabilities by exploiting Python's scientific ecosystem. This course will cover the foundations ...

  • Modern Computational Economics and Policy Applications. March 2024, International Monetary Fund (Institute for Capacity Development)

    Dec 17, 2025

    Open source scientific computing environments built around the Python programming language have expanded rapidly in recent years. They now form the dominant paradigm in artificial intelligence and many fields within the natural sciences. Economists can greatly enhance their modeling and data processing capabilities by exploiting Python's scientific ecosystem. This course will cover the foundations ...

  • An Introduction to High Performance Computing with Python. October 2023, International Monetary Fund

    Dec 17, 2025

    This workshop will give an overview of Python's high performance computing capabilities and how they can be used for economic modeling. We will cover JIT compilers, automation differentiation, cloud computing and GPUs. Attendees should bring their own laptop, but no software installs are necessary.

  • Computational Methods for Quantitative Economics. October 2023, Columbia University

    Dec 17, 2025

    This workshop will give an overview of Python's high performance computing capabilities and how they can be used for economic modeling. We will cover JIT compilers, automation differentiation, cloud computing and GPUs. Attendees should bring their own laptop, but no software installs are necessary.

  • Computational Economics with Python. April 2023, Kobe University

    Dec 17, 2025

    Computational methods and scientific computing are becoming increasingly central to research, analysis and policy work in economics, finance and social science.This is an introductory workshop for students and policy makers who are interested in learning about the evolution of modern scientific computing tools and how they can be applied to economic problems. The main language used in the workshop ...

  • QuantEcon Africa summer course

    Jul 31, 2023

    QuantEcon has just delivered our Africa summer course

  • Welcome to Our New Research Assistants

    Jun 25, 2023

    We would like to give a warm welcome to Porntipa Poonpolsub and Sreehari P. Sreedhar, who have joined QuantEcon as research assistants.

  • Introductory Lecture Series Launched

    Jun 14, 2023

    QuantEcon has launched A First Course in Quantitative Economics with Python.

  • Code library reorganizing

    Jun 10, 2014

    ​The past few weeks have been spent reorganizing the code library

  • Quantitative Economics with Google JAX

    May 31, 2023

    QuantEcon has launched Quantitative Economics with Google JAX, a new lecture series that introduces JAX and its techniques to solve high-dimensional economic problems.

  • New book on dynamic programming

    May 13, 2023

    The new book "Dynamic Programming Volume 1" by Tom Sargent and John Stachurski is available.

  • QuantEcon Workshops in Japan

    May 5, 2023

    QuantEcon hosted several workshops in Japan.

  • Welcome to Our New Research Assistants

    Apr 1, 2023

    We would like to give a warm welcome to Frank Wu and Hengcheng Zhang, who have joined QuantEcon as research assistants.

  • RSE Computational Economics Workshop

    Feb 2, 2023

    On February 16 2023, QuantEcon hosted a workshop designed to introduce students and policy makers to modern scientific computing tools and their applications to economic problems.

  • Recently Added Lectures

    Jan 6, 2023

    We have been busy adding new material to our Python lectures site.

  • Introducing Our Research Assistant Smit Lunagariya

    Nov 1, 2022

    We would like to introduce Smit Lunagariya who has been working as a Research Assistant at QuantEcon since April 2022.

  • Updates to NumPy and Advancing Programming in Python Lectures

    Sep 30, 2022

    We have updated our NumPy to include a discussion of how broadcasting in NumPy makes code faster and less memory-intensive.

  • Alfred P. Sloan Foundation grant awarded

    Jun 16, 2014

    16 Jun 2014We are delighted to announce that the Alfred P. Sloan Foundation has awarded quant-econ a very generous and helpful grant to support its development.

  • New Book on Economic Networks

    Jun 5, 2023

    The new book "Economic Networks, theory and computation" by John Stachurski and Tom Sargent.