Advanced Interactive Techniques for R & Python

Master Advanced Strategies for Dynamic Interactive Documents

Explore advanced interactive techniques including hybrid execution, reactive programming with OJS variables, and custom grading for interactive exercises in both R and Python using Quarto Live.

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Published

March 21, 2025

Keywords

advanced interactive techniques, R interactive advanced, Python interactive advanced

Introduction

This section is designed for advanced users who want to push the boundaries of interactive documents. Using Quarto Live, you can combine pre-rendered content with live interactive code to build dynamic, responsive documents that perform heavy computations at build time while still offering real-time interactivity.

In these tutorials, you’ll learn:

  • Hybrid Execution:
    Combine pre-rendered outputs with live interactive code, optimizing performance while retaining dynamic user interaction.

  • Reactivity:
    Leverage OJS variables to create reactive documents that update in real time based on user inputs and pre-computed data.

  • Custom Grading:
    Implement automated grading for interactive exercises to provide immediate, personalized feedback.

Topics in This Section

Further Reading

Conclusion

Advanced interactive techniques empower you to create dynamic, high-performance documents that blend static, pre-computed outputs with live, responsive interactivity. By mastering hybrid execution, reactivity, and custom grading, you can develop interactive content that is both efficient and engaging.

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Citation

BibTeX citation:
@online{kassambara2025,
  author = {Kassambara, Alboukadel},
  title = {Advanced {Interactive} {Techniques} for {R} \& {Python}},
  date = {2025-03-21},
  url = {https://www.datanovia.com/learn/interactive/advanced/index.html},
  langid = {en}
}
For attribution, please cite this work as:
Kassambara, Alboukadel. 2025. “Advanced Interactive Techniques for R & Python.” March 21, 2025. https://www.datanovia.com/learn/interactive/advanced/index.html.