Getting Started with Python in VS Code
Linting - Enable, configure, and apply a variety of Python linters. Debugging - Learn to debug Python both locally and remotely. Testing - Configure test environments and discover, run, and …
Python in Visual Studio Code
The Python and Jupyter extensions work together to give you a great Notebook experience in VS Code, providing you the ability to directly view and modify code cells with IntelliSense support, …
Quick Start Guide for Python in VS Code
Editing code - Learn about autocomplete, IntelliSense, formatting, and refactoring for Python. Linting - Enable, configure, and apply a variety of Python linters. Debugging - Learn to debug …
Python debugging in VS Code
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 …
Python environments in VS 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 …
Running Python code in Visual Studio Code
The Python extension offers various ways to run Python code without extra configuration. Select the Run Python File in Terminal play button in the top-right of the editor.
Python settings reference - Visual Studio Code
The Python Extension for Visual Studio Code is highly configurable. This page describes the key settings you can work with. For general information about working with settings in VS Code, …
Data Science in VS Code tutorial - Visual Studio Code
Visual Studio Code and the Python extension provide a great editor for data science scenarios. With native support for Jupyter notebooks combined with Anaconda, it's easy to get started.
Python testing in Visual Studio Code
Tests can be configured anytime by using the Python: Configure Tests command from the Command Palette or by setting either python.testing.unittestEnabled or …
Jupyter Notebooks in VS Code
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.