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!

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 operating …

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 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 development experience …

Use the convert icon on the toolbar to convert the Notebook (.ipynb) file to a Python file (.py). Select the convert icon followed by "Python Script", wait a few seconds, and then VS Code opens the converted …

Two common options are to use the Python File configuration to run the currently open Python file or to use the Attach using Process ID configuration to attach the debugger to a process that is already …

Tests can be configured anytime by using the Python: Configure Tests command from the Command Palette or by setting either python.testing.unittestEnabled or python.testing.pytestEnabled in the …

You can use the GitHub Copilot extension in VS Code to generate code, or to learn from the code it generates. GitHub Copilot provides suggestions for numerous languages and a wide variety of …

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 Python file.