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You can also embed user controls (for example, sliders or text input fields) that are used as input sources for code, demos, or Proof of Concepts (POCs).ĭocumentation of code samples and outcomes of data exploration: If you have a piece of code and you want to explain line-by-line how it works, you can embed it in a Jupyter Notebook. Live interactions with code: Code in a Jupyter Notebook is dynamic you can edit it and run the updates incrementally in real time. With a Jupyter Notebook, you can view code, execute it, and display the results directly in the Azure portal. You can create visualizations, make interactive changes to the shared code and data set, and share the results.Ĭode sharing: Services like GitHub provide ways to share code, but they're largely non-interactive. However, they can be used in various ways for different kinds of projects, including:ĭata visualization: Jupyter Notebooks allow you to visualize data in the form of a shared notebook that renders a data set as a graphic.
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Jupyter Notebooks were originally developed for data science applications written in Python and R. Inside the notebook, you can take advantage of built-in commands and features that make it easy to create Azure Cosmos DB resources, upload data, and query and visualize your data in Azure Cosmos DB. Developers, data scientists, engineers, and analysts can use the familiar Jupyter Notebooks experience to do data exploration, data cleaning, data transformations, numerical simulations, statistical modeling, data visualization, and machine learning.Īzure Cosmos DB supports both C# and Python notebooks for all APIs, including Core (SQL), Cassandra, Gremlin, Table, and API for MongoDB. 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.Īzure Cosmos DB built-in Jupyter Notebooks are directly integrated into the Azure portal and your Azure Cosmos DB accounts, making them convenient and easy to use.