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  1. Flask Tutorial in Visual Studio Code

    Python Flask tutorial showing IntelliSense, debugging, and code navigation support in Visual Studio Code, the best Python IDE.

  2. Getting Started with Python in VS Code - Visual Studio Code

    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!

  3. Python in a container - Visual Studio Code

    To install the extension, open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)), search for container tools to filter results and select the Container Tools extension authored by Microsoft.

  4. FastAPI Tutorial in Visual Studio Code

    Python extension for VS Code (For additional details on installing extensions, you can read Extension Marketplace). In this section, we will create a folder to open as a workspace in VS …

  5. Python debugging in VS Code

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

  6. Django Tutorial in Visual Studio Code

    You create this app in the context of Visual Studio Code in order to understand how to work with Django in the VS Code terminal, editor, and debugger. This tutorial does not explore various …

  7. Python in Visual Studio Code

    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 …

  8. Debug Python within a container - Visual Studio Code

    How to configure and troubleshoot debugging of Python apps running in a container, using Visual Studio Code.

  9. Formatting Python in VS Code

    Formatting makes source code easier to read by human beings. By enforcing particular rules and conventions such as line spacing, indents, and spacing around operators, the code becomes …

  10. Deploy Python Web Apps - Visual Studio Code

    The Azure Tools extensions for Visual Studio Code make it easy to deploy Python applications (including containers) to Azure App Service and to deploy serverless code to Azure Functions.