← 返回首页
Quick Start Guide for Python in VS Code
Visual Studio Code
Download

Use the Agents window to build in an agent-first way.

Documentation

Topics Overview Overview Linux macOS Windows VS Code for the Web Raspberry Pi Network Additional Components Uninstall VS Code Tutorial Copilot Quickstart User Interface Personalize VS Code Install Extensions Tips and Tricks Intro Videos Overview Setup Quickstart Overview Language Models Context Tools Agents Customization Trust & Safety Overview Agents Tutorial Agents Window Planning Memory Tools Subagents Local Agents Copilot CLI Cloud Agents Third-Party Agents Overview Chat Sessions Add Context Inline Chat Review Edits Checkpoints Artifacts Panel Debug Chat Interactions Prompt Examples Overview Instructions Prompt Files Custom Agents Agent Skills Language Models MCP Hooks Plugins Context Engineering Customize AI Test-Driven Development Edit Notebooks with AI Test with AI Test Web Apps with Browser Tools Debug with AI MCP Dev Guide OpenTelemetry Monitoring Inline Suggestions Smart Actions Best Practices Security Troubleshooting FAQ Cheat Sheet Settings Reference MCP Configuration Workspace Context Display Language Layout Keyboard Shortcuts Settings Settings Sync Extension Marketplace Extension Runtime Security Themes Profiles Overview Voice Interactions Command Line Interface Telemetry Basic Editing IntelliSense Code Navigation Refactoring Snippets Overview Multi-Root Workspaces Workspace Trust Tasks Debugging Debug Configuration Testing Port Forwarding Integrated Browser Overview Quickstart Staging & Committing Branches & Worktrees Repositories & Remotes Merge Conflicts Collaborate on GitHub Troubleshooting FAQ Getting Started Tutorial Terminal Basics Terminal Profiles Shell Integration Appearance Advanced Overview Enterprise Policies AI Settings Extensions Telemetry Updates Overview JavaScript JSON HTML Emmet CSS, SCSS and Less TypeScript Markdown PowerShell C++ Java PHP Python Julia R Ruby Rust Go T-SQL C# .NET Swift Working with JavaScript Node.js Tutorial Node.js Debugging Deploy Node.js Apps Browser Debugging Angular Tutorial React Tutorial Vue Tutorial Debugging Recipes Performance Profiling Extensions Tutorial Transpiling Editing Refactoring Debugging Quick Start Tutorial Run Python Code Editing Linting Formatting Debugging Environments Testing Python Interactive Django Tutorial FastAPI Tutorial Flask Tutorial Create Containers Deploy Python Apps Python in the Web Settings Reference Getting Started Navigate and Edit Refactoring Formatting and Linting Project Management Build Tools Run and Debug Testing Spring Boot Modernizing Java Apps Application Servers Deploy Java Apps GUI Applications Extensions FAQ Intro Videos GCC on Linux GCC on Windows GCC on Windows Subsystem for Linux Clang on macOS Microsoft C++ on Windows Build with CMake CMake Tools on Linux CMake Quick Start C++ Dev Tools for Copilot Editing and Navigating Debugging Configure Debugging Refactoring Settings Reference Configure IntelliSense Configure IntelliSense for Cross-Compiling FAQ Intro Videos Get Started Navigate and Edit IntelliCode Refactoring Formatting and Linting Project Management Build Tools Package Management Run and Debug Testing FAQ Overview Node.js Python ASP.NET Core Debug Docker Compose Registries Deploy to Azure Choose a Dev Environment Customize Develop with Kubernetes Tips and Tricks Overview Jupyter Notebooks Data Science Tutorial Python Interactive Data Wrangler Quick Start Data Wrangler PyTorch Support Azure Machine Learning Manage Jupyter Kernels Jupyter Notebooks on the Web Data Science in Microsoft Fabric Foundry Toolkit Overview Foundry Toolkit Copilot Tools Create Agents Models Playground Agent Builder Agent Inspector Evaluation Tool Catalog Fine-Tuning (Automated Setup) Fine-Tuning (Project Template) Model Conversion Tracing Profiling (Windows ML) FAQ File Structure Manual Model Conversion Manual Model Conversion on GPU Setup Environment Without Foundry Toolkit Template Project Migrating from Visualizer to Agent Inspector Overview Getting Started Resources View Deployment VS Code for the Web - Azure Containers Azure Kubernetes Service Kubernetes MongoDB Remote Debugging for Node.js Overview SSH Dev Containers Windows Subsystem for Linux GitHub Codespaces VS Code Server Tunnels SSH Tutorial WSL Tutorial Tips and Tricks FAQ Overview Tutorial Attach to Container Create Dev Container Advanced Containers devcontainer.json Dev Container CLI Tips and Tricks FAQ Default Keyboard Shortcuts Default Settings Substitution Variables Tasks Schema
Copy as Markdown

On this page there are 6 sections

Quick Start Guide for Python in VS Code

The Python extension makes Visual Studio Code an excellent Python editor, works on any operating system, and is usable with a variety of Python interpreters.

Get started by installing:

To further customize VS Code for Python, you can leverage the Python profile template, automatically installing recommended extensions and settings. For Data Science projects, consider using the Data Science profile template.

How to create and open a Python project or file

If you have an existing Python project you wish to work on in VS Code, you can begin by opening your folder or file from the VS Code Welcome page or File Explorer view, or by selecting File > Open Folder (Ctrl+K Ctrl+O) or File > Open File (⌘O (Windows, Linux Ctrl+O)).

You can create a new Python file by selecting New File on the VS Code Welcome page and then selecting Python file, or by navigating to File > New File ().

Tip: If you already have a workspace folder open in VS Code, you can add new files or folders directly into your existing project. You can create new folders and files by using the corresponding New Folder or New File icons on the top level folder in the File Explorer view.

UI tour

When you launch VS Code for the very first time, you will need to install the Python extension to get Python-specific features and UI. Let’s look at the UI after installing the Python extension:

Code Actions

Code Actions (also known as Quick Fixes) are provided to help fix issues when there are warnings in your code. These helpful hints are displayed in the editor left margin as a lightbulb (💡). Select the light bulb to display Code Action options. These Code Action can come from extensions such as Python, Pylance, or VS Code itself. For more information about Code Actions, see Python Quick Fixes.

Python commands

Python commands can be accessed through the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)). From the Command Palette, you have access to various features from VS Code and installed extensions. Enter “Python: “ in the Command Palette to find the commands available through the Python extension.

Run, debug, and test

Now that you are more familiar with Python in VS Code, let’s learn how to run, debug, and test your code.

Run

There are a few ways to run Python code in VS Code.

To run the Python script you have open on the editor, select the Run Python File in Terminal play button in the top-right of the editor.

There are also additional ways you can iteratively run snippets of your Python code within VS Code:

  • Select one or more lines, then press Shift+Enter or right-click and select Run Selection/Line in Python Terminal. This command is convenient for testing just a part of a file.
  • From the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select the Python: Start REPL command to open a REPL terminal for the currently selected Python interpreter. In the REPL, you can then enter and run lines of code one at a time.

Debug

The debugger is a helpful tool that allows you to inspect the flow of your code execution and more easily identify errors, as well as explore how your variables and data change as your program is run. You can start debugging by setting a breakpoint in your Python project by clicking in the gutter next to the line you wish to inspect.

To start debugging, initialize the debugger by pressing F5. Since this is your first time debugging this file, a configuration menu will open allowing you to select the type of application you want to debug. If it's a Python script, you can select Python File.

Once your program reaches the breakpoint, it will stop and allow you to track data in the Python Debug console, and progress through your program using the debug toolbar.

For a deeper dive into Python debugging functionality, see Python debugging in VS Code.

Test

The Python extension provides robust testing support for Unittest and pytest.

You can configure Python tests through the Testing view on the Activity Bar by selecting Configure Python Tests and selecting your test framework of choice.

You can also create tests for your Python project, which the Python extension will attempt to discover once your framework of choice is configured. The Python extension also allows you to run and debug your tests in the Testing view and inspect the test run output in the Test Results panel.

For a comprehensive look at testing functionality, see Python testing in VS Code.

Next steps

To learn how to build web apps with popular Python web frameworks, see the following tutorials:

There is much more to explore with Python in Visual Studio Code:

  • Python profile template - Create a new profile with a curated set of extensions, settings, and snippets
  • 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 both locally and remotely.
  • Testing - Configure test environments and discover, run, and debug tests.
  • Settings reference - Explore the full range of Python-related settings in VS Code.
02/04/2026