Quantitative Economics with Julia

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Overview

In this lecture we will cover how to get up and running with Julia.

There are a few different options for using Julia, including a local desktop installation and Jupyter hosted on the web.

If you have access to a web-based Jupyter and Julia setup, it is typically the most straightforward way to get started.

A Note on Jupyter

Like Python and R, and unlike products such as Matlab and Stata, there is a looser connection between Julia as a programming language and Julia as a specific development environment.

While you will eventually use other editors, there are some advantages to starting with the Jupyter environment while learning Julia.

  • The ability to mix formatted text (including mathematical expressions) and code in a single document.
  • Nicely formatted output including tables, figures, animation, video, etc.
  • Conversion tools to generate PDF slides, static HTML, etc.
  • Online Jupyter may be available, and requires no installation.

We’ll discuss the workflow on these features in the next lecture.

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Attribution

Jesse Perla, Thomas J. Sargent, John Stachurski. Quantitative Economics with Julia. https://julia.quantecon.org/

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