Jupyter notebooks

A web-based interactive computational environment: it merges live code, documentation, equations, and visualizations into a single, shareable document.

Jupyter Notebooks provide a powerful, open-source platform for data science and scientific computing. The core architecture uses a cell-based structure: users execute code blocks (e.g., Python, R, Julia) independently and capture immediate output, including charts and rich media. This design facilitates rapid prototyping, data exploration, and reproducible research workflows. The notebook file format (.ipynb) is a standard for sharing computational narratives, making it a critical tool across academia and industry (data analysis, machine learning).

https://jupyter.org