Jupyternotebooks

Jupyter Notebooks, commonly referred to as Jupyter notebooks, are a web-based interactive computing environment that enables users to create and share documents containing live code, equations, visualizations, and narrative text. Notebooks organize content into cells, which can contain executable code in languages supported by kernels, as well as rich text in Markdown and inline results. The standard file format is JSON with the extension .ipynb.

Developed as part of the Project Jupyter, the platform emerged from the IPython project and grew into a multi-language ecosystem. The name reflects the languages Julia, Python, and R, among others, that can be used through different kernels. Jupyter Notebooks are open source and can run on a local machine, on a server, or in the cloud, typically through a browser-based interface that communicates with a language kernel.

Key features include code execution, inline rich outputs, and support for markdown documentation alongside executable cells. Notebooks can embed visualizations, equations via LaTeX, and interactive widgets. They can be exported to various formats, such as HTML and PDF, using tools like nbconvert, and integrated with version control and collaboration platforms through JupyterHub, Binder, or cloud services. The notebook model supports reproducibility by capturing code, data processing steps, and results in a single document.

Beyond data analysis and education, Jupyter Notebooks are used in research workflows, software demonstrations, and teaching environments. The ecosystem includes JupyterLab, a more modular interface, and a growing collection of kernels and extensions, enabling enhanced editing, debugging, and visualization workflows.