# Jupyter

> Jupyter notebooks for interactive computing. Use for data exploration.

- Skill: `g1joshi/jupyter` (Agent Skill)
- Install (CLI): `npx skillmds@latest add g1joshi/jupyter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/g1joshi/jupyter/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: G1Joshi (https://skillmd.com/u/g1joshi)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/g1joshi/jupyter

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# Jupyter

Jupyter is the de facto standard for interactive data science. v7 (2025) of the Notebook is built on JupyterLab components, offering a modern, extensible experience.

## When to Use

- **Exploratory Data Analysis (EDA)**: Plotting data inline (`matplotlib`).
- **Education**: Teaching code with markdown explanations.
- **Prototyping**: Testing snippets before moving to a script.

## Core Concepts

### Kernels

The computation engine (IPython, IJulia).

### Cells

Code cells (executed) vs Markdown cells (documentation).

### Magic Commands

`%timeit`, `!pip install`.

## Best Practices (2025)

**Do**:

- **Use JupyterLab**: The richer, multi-tab interface is standard.
- **Use `nbdev`**: If you want to build libraries from notebooks.
- **Use Version Control**: Use `jupytext` to pair notebooks with `.py` files for git diffs.

**Don't**:

- **Don't store secrets**: Clear output before committing.

## References

- [Jupyter Documentation](https://jupyter.org/)