Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a …

In addition to opening a Jupyter notebook, you can also use one of the following commands from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) to export content from a Python …

Visual Studio Code supports working with Jupyter Notebooks on the desktop, and extends to various browser-based platforms like GitHub Codespaces and VS Code for the Web.

By default, VS Code will recommend the one you've previously used with your notebook, but you can choose to connect to any other Jupyter kernels as shown below.

Python data science tutorial demonstrating the use of common data science and machine learning libraries with Visual Studio code Jupyter Notebook support.

Learn how to use GitHub Copilot in Visual Studio Code to edit Jupyter notebooks with AI.

As opposed to traditional notebooks that are typically used with Python, the Polyglot Notebooks extension allows you to use multiple programming languages natively all in the same notebook …

The Notebook API allows Visual Studio Code extensions to open files as notebooks, execute notebook code cells, and render notebook outputs in a variety of rich and interactive formats.

To work around this error, you need to open Data Wrangler from a Jupyter Notebook instead of directly from a data file. Use a Jupyter Notebook to read the file using Pandas, for example …

The Azure Machine Learning leverages the strong Jupyter notebooks support in VS Code. It makes connecting to a remote compute instance and using them as remote Jupyter servers …