What Is a Jupyter Notebook and How Do You Use It?
A plain-English first session for analysts moving from spreadsheets to Python: what a Jupyter notebook is, how to open one and how to load and explore your first file.
Data & Analytics
What is Jupyter Notebook?
Quick answer
An open-source, browser-based environment that mixes live code, results, charts, and explanatory text in a single document.
Jupyter Notebook, explained
Jupyter Notebooks are organized into cells. Code cells run Python or other languages and display their output, such as tables or charts, directly underneath. Markdown cells hold headings, notes, and equations. This makes notebooks ideal for exploring data step by step and explaining the reasoning alongside the code.
Data scientists, researchers, students, and educators use notebooks for analysis, machine learning experiments, tutorials, and reproducible research. The name comes from three core languages: Julia, Python, and R. JupyterLab offers a more full-featured interface, and hosted services let people run notebooks in the cloud without installing anything. Notebooks can become messy for production code, so teams often move mature logic into regular scripts or packages.
Related terms
Integrated Development Environment
A software application that combines a code editor, debugger, build tools, and other features to help developers write software.
PythonA popular, general-purpose programming language known for readable syntax, widely used in AI, data science, automation, and web development.
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