Link: https://jupyter.org/
Description: WebThe 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.
DA: 71 PA: 95 MOZ Rank: 72
Link: https://jupyter.org/install
Description: WebJupyter Notebook. Install the classic Jupyter Notebook with: pip install notebook. To run the notebook: jupyter notebook. Voilà. Install Voilà with: pip install voila. Once installed, launch Voilà with: voila. Homebrew is a package manager for macOS and Linux. You can use it to install Jupyter by running: brew install jupyterlab.
DA: 23 PA: 5 MOZ Rank: 21
Link: https://jupyter.org/try
Description: WebJupyter Notebook. The original web application for creating and sharing computational documents. JupyterLite (Wasm powered Jupyter) deployed as static GitHub Pages. Jupyter Widgets. HTML widgets in Jupyter notebooks for interactive exploration of input data. Voilà. Share insights by converting notebooks into interactive dashboards. Kernels.
DA: 44 PA: 13 MOZ Rank: 23
Link: https://realpython.com/jupyter-notebook-introduction/
Description: WebThe Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. Jupyter Notebook is maintained by the people at Project Jupyter.
DA: 89 PA: 83 MOZ Rank: 53
Link: https://jupyter-notebook.readthedocs.io/en/stable/notebook.html
Description: WebJupyter 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.
DA: 29 PA: 21 MOZ Rank: 94
Link: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
Description: WebAug 24, 2020 · The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. This article will walk you through how to use Jupyter Notebooks for data science projects and how to set it up on your local machine. First, though: what is a “notebook”?
DA: 13 PA: 13 MOZ Rank: 78
Link: https://colab.google/
Description: WebGoogle 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.
DA: 2 PA: 4 MOZ Rank: 94
Link: https://docs.jupyter.org/en/latest/install.html
Description: WebThe Jupyter Notebook interface is a Web-based application for authoring documents that combine live-code with narrative text, equations and visualizations. GitHub Repo. Docs. Installing the classic Jupyter Notebook interface. Upgrading Jupyter Notebook. JupyterLab # JupyterLab is a next-generation web-based user interface for Project Jupyter.
DA: 72 PA: 30 MOZ Rank: 10
Link: https://jupyter-notebook.readthedocs.io/en/stable/index.html
Description: WebJupyter Notebook is a simplified notebook authoring application, and is a part of Project Jupyter, a large umbrella project centered around the goal of providing tools (and standards ) for interactive computing with computational notebooks.
DA: 5 PA: 99 MOZ Rank: 6
Link: https://docs.jupyter.org/
Description: WebJupyter Notebook offers a simplified, lightweight notebook authoring experience. JupyterLab offers a feature-rich, tabbed multi-notebook editing environment with additional tools like a customizable interface layout and system console. And more… read about additional notebook interfaces here!
DA: 96 PA: 81 MOZ Rank: 55
