To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package.

Descriptions of kernel selection options and tutorials on managing different types of kernels when working with Jupyter Notebooks in Visual Studio Code.

When you've activated an environment with Jupyter installed, you can open a Jupyter notebook file (.ipynb) in VS Code and then convert it to Python code. Once you've converted the file, you …

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.

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

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

To debug issues related to the local Python interpreter option, one way to potentially fix the issue is to install different versions of the Jupyter and Python extensions. For example, if stable …

Use Jupyter Notebooks and the Interactive Window to start analyzing and visualizing your data in minutes! Power your Python coding experience with IntelliSense support and build, train, and …

Copilot is your AI pair programmer tool in Visual Studio Code. Get code suggestions as you type in the editor, or use natural language chat to ask about your code or start an editing session …

You may know of popular notebook interfaces like Jupyter Notebook or Google Colab – the Notebook API allows for similar experiences inside Visual Studio Code. Parts of a Notebook A …