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: …

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.

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 …

Details on configuring the Visual Studio Code debugger for different Python applications.

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

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 …

For general information about working with settings in VS Code, refer to User and workspace settings, as well as the Variables reference for information about predefined variable support.

The Python extension builds on the built-in testing features in VS Code and provides test discovery, test coverage, and running and debugging tests for Python's built-in unittest framework and pytest.

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

Congratulations on completing this walkthrough of working with Flask in Visual Studio Code! The completed code project from this tutorial can be found on GitHub: python-sample-vscode-flask-tutorial.