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  1. 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.

  2. Write, execute, and visualize code collaboratively using the Jupyter Online Compiler. We offer real-time Jupyter Editor options.

  3. 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.

  4. Google Colaboratory. 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.

  5. Get up and running on your computer. Project Jupyters tools are available for installation via the Python Package Index, the leading repository of software created for the Python programming language. This page uses instructions with pip, the recommended installation tool for Python.

  6. Jupyter Notebook is a notebook authoring application, under the Project Jupyter umbrella. Built on the power of the computational notebook format , Jupyter Notebook offers fast, interactive new ways to prototype and explain your code, explore and visualize your data, and share your ideas with others.

  7. 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.

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