Contents

Programming for Quantitative Economics

Note

This collection of lectures was built using Jupyter Book, as part of the ExecutableBookProject. These tools are still at an early stage of development and breaking changes may occur. Feedback and participation is very welcome.

These notes present a set of lectures on Python programming for quantitative economics, designed and written by Thomas J. Sargent and John Stachurski.

They are one part of a larger set of lectures on open source computing, economics and finance backed by QuantEcon.

Troubleshooting

Note

This page is for readers experiencing errors when running the code from the lectures.

The basic assumption of the lectures is that code in a lecture should execute whenever

  1. it is executed in a Jupyter notebook and

  2. the notebook is running on a machine with the latest version of Anaconda Python.

To install Anaconda, follow the instructions in this lecture.

The most common source of problems for our readers is that their Anaconda distribution is not up to date.

Here’s a useful article on how to update Anaconda.

Another option is to simply remove Anaconda and reinstall.

You also need to keep the external code libraries, such as QuantEcon.py up to date.

For this task you can either

  • use pip install --upgrade quantecon on the command line, or

  • execute !pip install --upgrade quantecon within a Jupyter notebook.

Feedback

To provide feedback on these lectures you can

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