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Dynamic Interactions for R and Python using Quarto and WebAssembly

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Abstract

These lectures delve into the world of dynamic interactions available through interactive documents by exploring the integration of web-based versions of R and Python within the Quarto framework. The dynamic capabilities of the Quarto publishing framework, coupled with in-browser versions of leading data science language distributions based on WebAssembly, offer a unique platform for real-time code execution, fostering interactive experiences in data analysis and scientific computing. We’ll discuss how this approach not only fosters interactive experiences in data analysis and scientific computing but also provides a powerful and versatile toolset for researchers, educators, and practitioners.

Format

Each topic is covered in a sequence of two consecutive lectures. In the first meeting, the speaker can introduce the topic and work through a simple example. The participants will be expected to replicate the example and other exercises outside of class before the next meeting. The second meeting will involve a further discussion of the topic, including any issues that arose with the examples/exercises and even an in-class walk-through if that is helpful.

Schedule

Authoring Codespace

If you are comfortable with VS Code, you can jump right into an Authoring Codespace for Dynamic Documents by clicking on the following button:

Open in GitHub Codespaces

Note: Codespaces are available to Students and Teachers for free up to 180 core hours per month through GitHub Education. Otherwise, you will have up to 60 core hours and 15 GB free per month.

Useful links

  • Pyodide :octocat:: Severless Python Distribution
  • webR :octocat:: Severless R Distribution
  • Quarto :octocat:: An open-source scientific and technical publishing system
  • WebAssembly Extensions for Quarto

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Guest lectures on data science with R and Python in the web browser with WASM in Stanford University's STATS 352

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