For a quick install, use Python from python.org and install the extension from the VS Code Marketplace. Note: To help get you started with Python development, you can use the Python …

During the course of this tutorial, you learned how to create a Python project, create a virtual environment, run and debug your Python code, and install Python packages.

A quick start guide to get you up and coding with the Python extension in Visual Studio Code.

Visual Studio Code is free and available on your favorite platform - Linux, macOS, and Windows. Download Visual Studio Code to experience a redefined code editor, optimized for building …

To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the …

This tutorial demonstrates using Visual Studio Code and the Microsoft Python extension with common data science libraries to explore a basic data science scenario.

If you do not have any Jupyter kernel or Python environment on your machine, VS Code can help you set up: go to the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select Python: …

VS Code ships monthly releases and supports auto-update when a new release is available. If you're prompted by VS Code, accept the newest update and it will be installed (you won't need …

You will be prompted with an extension recommendation, in this case to install the Microsoft Python extension, which will give you rich editing and debugging experiences.

Select the Install button, and VS Code will download and install the extension from the Marketplace. When the installation is complete, the Install button will be replaced with a …