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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.
The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience. Try it in your browser Install the Notebook. Language of choice. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. Share notebooks.
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.
WASM powered Jupyter running in the browser.
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.
Aprender Python online, utilizando ferramentas como o Jupyter, oferece diversas vantagens, como flexibilidade de horários, acesso a materiais de aprendizagem, prática interativa, acesso a projetos reais e suporte da comunidade.
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.
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. Click to Try Jupyter.
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.
With Colab you can harness the full power of popular Python libraries to analyze and visualize data. The code cell below uses numpy to generate some random data, and uses matplotlib to visualize...
