G1Joshi/Agent-Skills
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Jupyter
jupyter
Jupyter notebooks for interactive computing. Use for data exploration.
SKILL.md
Full skill instructions
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
jupytextto pair notebooks with.pyfiles for git diffs.
Don't:
- Don't store secrets: Clear output before committing.
References
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