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JupyterLab is a web-based interactive development environment for notebooks, code, and data. It supports over 40 programming languages, including Python, and integrates with big data tools and JupyterHub.
- Installing Jupyter
Project Jupyter’s tools are available for installation via...
- Try Jupyter
Try Jupyter. Project Jupyter builds tools, standards, and...
- Get Involved
Jupyter is a community of data enthusiasts who believe in...
- Documentation
Project Jupyter Documentation#. Welcome to the Project...
- News
The Jupyter Blog. CUDA enabled Jupyter Docker Images. I am...
- Governance
By The Jupyter Book community To the extent possible under...
- Security
The Jupyter Notebook is a web-based interactive computing...
- About
Project Jupyter’s origins and governance. Donate. Jupyter...
- Installing Jupyter
Learn how to use Jupyter tools for interactive computing with different languages and applications. Jupyter supports Python, R, Julia, C++, and more, and provides JupyterLab, Jupyter Notebook, JupyterLite, and other interfaces.
WASM powered Jupyter running in the browser.
7 wrz 2023 · Learn about Jupyter Notebook, a web-based interactive environment for data science and machine learning. Find out how to install it with Pip or Conda, and how to use it with Jupyter Lab or VSCode.
Jupyter Notebook is a web application that allows you to create, edit, and execute code, text, and media in a notebook document. Learn how to install, use, and share notebooks, and how to manage privacy and security.
Learn how to install, run, and use Jupyter Notebook, an open source web application for creating and sharing documents with live code, equations, visualizations, and text. Jupyter Notebook supports Python, Julia, R, and many other kernels.
No Installation Needed. Try Jupyter (https://try.jupyter.org) is a site for trying out the Jupyter Notebook, equipped with kernels for several different languages (Julia, R, C++, Scheme, Ruby) without installing anything. Click the link below to go to the page.
