Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any …

In this tutorial, you will learn how to use Python 3 in Visual Studio Code to create, run, and debug a Python "Roll a dice!" application, work with virtual environments, use packages, and more!

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

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 …

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: …

The VS Code Native REPL for Python builds upon the classic Python REPL and provides additional features, such as Intellisense and syntax highlighting to make your Python …

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 …

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 …

Here, you can select the appropriate option to quickly debug your code. Two common options are to use the Python File configuration to run the currently open Python file or to use the Attach …

For more information about editing in Visual Studio Code, see Basic Editing and Code Navigation. In this overview, we will describe the specific editing features provided by the Python …