Jupyter Interactive Notebook
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Updated
Oct 3, 2024 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Jupyter Interactive Notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Python Data Science Handbook: full text in Jupyter Notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Custom Jupyter Notebook Themes
Try out deep learning models online on Google Colab
Multi-user server for Jupyter notebooks
Learn Python for free using open-source notebooks in Hebrew.
Jupyter notebooks for teaching/learning Python 3
Jupyter notebooks from the scikit-learn video series
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
Jupyter notebook integration with Spyder
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Deep Learning tutorials in jupyter notebooks.
Jupyter notebook and datasets from the pandas video series
💫 Jupyter notebooks for spaCy examples and tutorials
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release about 1 month ago