Learn JUPYTER-NOTEBOOK with Real Code Examples

Jupyter Notebook supports live code execution in multiple languages, primarily Python.

Users can combine code, visualizations, and markdown text in a single document.

It allows inline display of plots, tables, and interactive widgets.

Notebooks can be exported to HTML, PDF, or slides for sharing.

Popular among researchers, data scientists, educators, and students for reproducible analyses.

Web-based code editor with cells for code and markdown

Kernel system for executing code in different languages

Notebook documents (.ipynb) for reproducible workflows

Interactive widgets and plotting capabilities

Integration with version control and cloud services

Notebook: collection of cells and metadata

Cell types: code, markdown, raw

Kernel: executes code and maintains state

Output: text, tables, images, or interactive widgets

Notebook metadata: document settings and kernel info

Notebook file (.ipynb) as primary unit

Code cells for computations

Markdown cells for documentation

Optional directories for datasets and scripts

Support for embedded images, plots, and widgets

Create a new notebook or open an existing one

Write code in code cells

Add explanations in markdown cells

Run cells to execute code and produce output

Save and share notebook with collaborators or export formats

Beginner: learn Python or data science basics

Intermediate: exploratory data analysis and visualizations

Advanced: machine learning experiments and research

Expert: collaborative research and interactive tutorials

Instructor: teaching courses and assignments

Jupyter vs JSBin -> Jupyter: multi-language, data science; JSBin: front-end prototyping

Jupyter vs Replit -> Jupyter: scientific computing; Replit: general IDE with hosting

Jupyter vs CodeHS -> Jupyter: research and education; CodeHS: K-12 programming courses

Jupyter vs Google Colab -> Colab: cloud-hosted version of Jupyter with free GPU support

Jupyter vs VS Code -> VS Code: full IDE; Jupyter: interactive notebooks

2001 - IPython created by Fernando Pérez

2005–2010 - IPython Notebook development

2014 - Jupyter Project launched to support multiple languages

2015–2020 - Widespread adoption in data science and academia

2021–2025 - Continuous improvements in interactive widgets and cloud integration

Notebook - .ipynb document with cells

Cell - unit of code or markdown

Kernel - executes code and maintains state

Markdown - formatted text in cells

Widget - interactive UI element in notebook