
A gallery of interesting IPython notebooks
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.

About A gallery of interesting IPython notebooks
This wiki page is a curated collection of notable Jupyter/IPython notebooks. Entries are grouped by topic, including introductory tutorials, programming, statistics and machine learning, natural sciences, earth science, linguistics, signal processing, finance, visualization, and notebooks in languages such as Julia, Haskell, Ruby, Perl, F#, C#, and JavaScript. It also lists entire books, reproducible academic publications, data-driven journalism, and other notebook uses. Links point to rendered versions in nbviewer for immediate viewing.
Visitors can add content, but additions are limited to notebooks with interesting visual or technical content and should link to the nbviewer-rendered version rather than the raw file.
Key features
- Links to rendered notebook versions via nbviewer for direct viewing
- Organized sections for science, programming, statistics, and geospatial topics
- Includes entire books and large collections of notebooks
- Lists notebooks in Julia, Haskell, Ruby, Perl, F#, C#, JavaScript
- Provides examples of reproducible academic publications using notebooks
- Accepts community additions limited to visually or technically interesting content
- Covers many subjects, from tutorials and books to academic publications
- Links to rendered versions for immediate access to content
- Open for community additions
- Limited to notebooks with interesting visual or technical content
- New links must use rendered nbviewer versions rather than raw files
A gallery of interesting IPython notebooks at a glance
- Category
- Development › Developer Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
A gallery of interesting IPython notebooks alternatives
Tools and sites you could use instead, ranked by how closely they match.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
AstroML provides Python tools for machine learning and data mining in astronomy.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.
statsmodels provides statistical modeling and econometrics tools in Python.
Popular in Developer Tools
Well-known listings from the same topic.
A gallery of interesting IPython notebooks FAQ
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