Jupyter notebook

A Jupyter Notebook app lets you create and run interactive documents that combine:

• Executable code, commonly Python
• Output, such as calculations, charts, and tables
• Explanatory text using Markdown
• Images, equations, and rich media

You work in separate cells, running them individually and seeing results immediately.

This makes Jupyter useful for:

• Data analysis and visualization
• Machine learning experiments
• Scientific and engineering calculations
• Teaching and tutorials
• Prototyping and documenting code

A notebook usually runs code through a kernel, such as a Python environment. The notebook file (.ipynb) stores the code, outputs, explanations, and metadata together, so it can serve as both a working environment and a reproducible report