Install Python and the Python extension. The tutorial guides you through installing Python and using the extension. You must install a Python interpreter yourself separately from the extension. For a quick install, use Python from python.org and …

Install a Python interpreter. Along with the Python extension, you need to install a Python interpreter. Which interpreter you use is dependent on your specific needs, but some guidance is provided below. Windows. Install Python from python.org. Use the Download Python button that appears first on the page to download the latest version.

Manually specify an interpreter. If VS Code doesn't automatically locate an interpreter you want to use, you can browse for the interpreter on your file system or provide the path to it manually. You can do so by running the Python: Select Interpreter command and select the Enter interpreter path... option that shows on the top of the ...

Get started by installing: VS Code; A Python Interpreter (any actively supported Python version) Python extension from the VS Code Marketplace; To further customize VS Code for Python, you can leverage the Python profile template, automatically installing recommended extensions and …

The Python interpreter that is installed on your machine gives you what's known as an interactive REPL (Read-Evaluate-Print Loop), which reads a piece of code, evaluates it, and then prints the result to the console.

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 and debugging modern web and cloud applications.

The Python Debugger extension is automatically installed along with the Python extension for VS Code. It offers debugging features with debugpy for several types of Python applications, including scripts, web apps, remote processes and more.

Linting Python in Visual Studio Code. Linting highlights semantic and stylistic problems in your Python source code, which often helps you identify and correct subtle programming errors or coding practices that can lead to errors.

To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package. To select an environment, use the Python: Select Interpreter command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)).

Create a Dockerfile file describing a simple Python container. Build, run, and verify the functionality of a Django, Flask, or General Python app. Debug the app running in a container. Prerequisites. Install Docker on your machine and add it to the system path.