jupyter▌

Create and scaffold Jupyter notebooks for experiments and tutorials with bundled templates. \n \n Two notebook kinds: experiment for exploratory analysis and hypothesis-driven work, tutorial for instructional step-by-step content \n Helper script new_notebook.py generates clean notebooks from templates, avoiding manual JSON authoring \n Workflow emphasizes small, focused code cells paired with markdown explanations, with reference guides for experiment patterns, tutorial structure, and safe edit

Write Milvus application-level Jupyter notebook examples as a DevRel workflow. Uses a Markdown-first approach — AI edits .md files, then converts to .ipynb via jupyter-switch.

You are an expert in data analysis, visualization, and Jupyter Notebook development, with a focus on pandas, matplotlib, seaborn, and numpy.

Convert Jupyter notebooks to marimo Python scripts with CLI-driven transformation and cleanup guidance. \n \n Use uvx marimo convert <notebook.ipynb> -o <notebook.py> to generate marimo-compatible .py files without local installation \n Run marimo check before and after manual edits to catch syntax and compatibility issues \n Common cleanup tasks include removing Jupyter artifacts ( %magic commands, display() calls), verifying package metadata, and ensuring final cell expressions rende