jupyter

name	jupyter
description	Jupyter notebooks for interactive computing. Use for data exploration.

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