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Project Jupyter builds tools, standards, and services for many different use cases. This page has links to interactive demos that allow you to try some our tools for free online, thanks to mybinder.org, a free public service provided by the Jupyter community.
WASM powered Jupyter running in the browser.
WASM powered Jupyter running in the browser.
Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education. Open Colab New Notebook. Blog. News and Guidance. Features, updates, and best practices. Read our blog. Explore.
RunCode provides a Jupyter Notebooks online platform. Write, execute, and visualize code collaboratively using the Jupyter Online Compiler. We offer real-time Jupyter Editor options.
CoCalc is an online web service where you can run Jupyter notebooks right inside your browser. You can privately share your notebook with your project collaborators – all changes are synchronized in real-time.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
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. Click to Try Jupyter.
Jan 5, 2022 · Colab is an online Jupyter Notebooks environment from Google. It does everything that a local notebook would do (and more) but it is in the cloud, so no software installation is necessary and it is available from any internet connected computer.
Write and run Python code using our online compiler (interpreter). You can use Python Shell like IDLE, and take inputs from the user in our Python compiler.
