Manage Jupyter Notebooks

Bring data science to life with interactive notebooks.

Jupyter Notebook editor on the website displaying editable code and run functionality.Jupyter Notebook on the website featuring an editor for code with instant feedback.

1. Give students integrated practice

Students dive right into coding and analysis with interactive Jupyter Notebooks directly within your LMS, mimicking real-world data science tasks.

  • Brings the full power of Jupyter Notebooks to your LMS
  • Lets students work on data, markdown, and code in real-time
  • Provides a practical, immersive learning experience
Jupyter Notebook editor on the website showing code without execution or run option.
Jupyter Notebook editor on the website displaying editable code and run functionality.

2. Provide instant feedback for improvement

Students get real-time feedback on their work, helping them quickly identify mistakes and improve their data models or analyses while maintaining momentum.

  • Automatically evaluates code and data models as students work
  • Helps students refine their skills with immediate, actionable insights
  • Reduces frustration by providing timely corrections

3. Use personalized support when it matters

Inline comments and AI-driven guidance ensure that students get targeted help exactly where they need it, enabling them to overcome challenges and refine their techniques.

  • AI Assistants offers instant debugging and code suggestions when you can’t be there
  • Instructors can leave focused feedback on specific lines of code
  • Students get real-time support tailored to their unique challenges
Inline comment on student Jupyter Notebook.

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Clinical Professor in Management Science

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Assistant Professor of Management Information Systems

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Lecturer at the University of Massachusetts, Amherst in the Isenberg School of Management.

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