Jupyter Notebooks: Home

Project Julypter website with documentation and tutorials.

This tutorial from Real Python covers the basic functionality and use of Jupyter.

Gallery of GitHub content on Jupyter Notebooks.

nbviewer is a web application that lets you enter the URL of a Jupyter Notebook file, renders that notebook as a static HTML web page, and gives you a stable link to that page which you can share with others. nbviewer also supports browsing collections of notebooks (e.g., in a GitHub repository) and rendering notebooks in other formats (e.g., slides, scripts).

A Medium platform for thousands of people to exchange ideas and to expand our understanding of data science.

Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.

Join instructor Josh McQuiston as he shows how to run Jupyter notebooks, streamline workflows, and use common graphs to visualize your data in uncommon ways. The lessons are illustrated with examples based in real data, so you get an accurate picture of the real-world impact Jupyter can make on your development projects.

The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code and evaluation tables. All content on this website is openly licenced under CC-BY-SA (same as Wikipedia) and everyone can contribute - look for the "Edit" buttons!

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, charts and graphics, and descriptive text. It’s ideal for machine learning, statistical modeling, and other projects that require analysis and visualization. Join instructor Josh McQuiston as he shows how to run Jupyter notebooks, streamline workflows, and use common graphs to visualize your data in uncommon ways. The lessons are illustrated with examples based in real data, so you get an accurate picture of the real-world impact Jupyter can make on your development projects.

Jupyter is a community of data enthusiasts who believe in the power of open tools and standards for education, research, and data analytics. We welcome contributions and contributors of all kinds - whether they come as contributions to code, participation in the community, opening issues and pointing out bugs, or simply sharing your work with your colleagues and friends.