![]() Jupyter Notebooks support Python and C# code. CSS styling can also be included inline or added to the template used to generate the notebook. Plain text, or text annotated in the markdown syntax to generate HTML, can be inserted into the document at any point. Jupyter Notebooks can include several types of components, each organized into discrete blocks or cells: Text and HTML Jupyter Notebooks combines multiple assets into a single document including: You don't need to write extra custom code. You can use commands like %%upload and %%sql to upload data into a container and query it using SQL API syntax. Built-in commands for Azure Cosmos DBĪzure Cosmos DB's built-in magic commands make it easy to interact with your account. You can add interactivity along with the documentation at the same time. 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. Documentation of code samples and outcomes of data exploration 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). Live interactions with codeĬode 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. Services like GitHub provides ways to share code, but they're largely non-interactive. You can create visualizations, make interactive changes to the shared code and data set, and share the results. ![]() Jupyter Notebooks allow you to visualize data in the form of a shared notebook that renders a data set as a graphic. However, they can be used in various ways for different kinds of projects, including: Data visualization Jupyter Notebooks were originally developed for data science applications written in Python and R. You can also use the built-in commands to upload, query, and visualize your data in Azure Cosmos DB. Inside the notebook, you can take advantage of built-in commands and features that make it easy to create Azure Cosmos DB resources. These common tasks include:Īzure Cosmos DB supports both C# and Python notebooks for the APIs for NoSQL, Apache Cassandra, Apache Gremlin, Table, and MongoDB. Developers, data scientists, engineers, and analysts can use the familiar Jupyter Notebooks experience to perform common tasks. ![]() Jupyter Notebooks is an open-source interactive developer environment (IDE) that's designed to create, execute, 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. The Jupyter Notebooks feature of Azure Cosmos DB is currently in a preview state and is progressively rolling out to all customers over time.
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