How to Work with Jupyter Notebooks via LLM in Cursor IDE?

Discover a more integrated approach to handling your Jupyter Notebooks with Cursor IDE’s LLM features. In this step-by-step tutorial, you'll learn how to:
Use Jupyter Notebooks directly within your Python files
Leverage Cursor IDE’s AI to analyze your data and create visualizations
Automatically generate documentation with LLM
Simplify your workflow by reducing the need to switch between multiple tools

This method is ideal for data scientists who prefer a streamlined and efficient approach to managing projects.

Check out my article on Cursor rules: kirill-markin.com/articles/cursor-ide-rules-for-ai…
For a comprehensive deep dive, read my detailed article: kirill-markin.com/articles/jupyter-notebooks-curso…

Timecodes:
00:00 - Intro
00:35 - Setup
02:40 - What is Jupiter notebook?
08:32 - Cursor composer usage with Jupiter
11:08 - Cursor rules
12:06 - Working with a data-set
15:21 - Libraries problem
17:44 - Cursor fixing erorrs
18:47 - The results
20:13 - Making it analyze
27:54 - Conclusion

🔧 Tools Used:
Cursor IDE
Jupyter Notebook Extension
Pandas & Matplotlib for data visualization

About Me:
Hi, I'm Kirill Markin, Head of R&D Lab, AI & Data Consultant, and Founder of ozma.io. I enjoy exploring practical tech solutions and sharing ways to enhance productivity. Subscribe for more insights on refining your workflow and staying updated in the tech world