How to Set Up Visual Studio Code for Python on Windows 11

Visual Studio Code is one of the most popular code editors for Python development on Windows 11. It is lightweight, easy to customize, and supports useful features such as syntax highlighting, debugging, code completion, extensions, and an integrated terminal.

Setting up Visual Studio Code for Python does require more than simply installing the editor. You also need Python itself and the official Python extension for Visual Studio Code. Once these components are installed and configured, you can create Python files, run programs, install packages, and debug your code directly from the editor.

This guide explains how to set up Visual Studio Code for Python on Windows 11 from the beginning. The steps also cover selecting the correct Python interpreter, creating a test program, running Python code, and fixing common configuration problems.

Method 1: Install Python on Windows 11

Before configuring Visual Studio Code, install Python on your Windows 11 PC.

1. Download the latest Python installer for Windows.
2. Open the installer after the download finishes.
3. On the first installation screen, enable Add python.exe to PATH.
4. Click Install Now.
5. Wait for the installation to finish.
6. Close the installer.

Adding Python to PATH makes it easier to run Python from Command Prompt, PowerShell, and the Visual Studio Code terminal.

To check whether Python was installed correctly:

1. Press Windows + R.
2. Type cmd.
3. Press Enter.
4. Enter:

python --version

5. Press Enter.

Windows should display the installed Python version.

If the python command does not work, try:

py --version

The Python launcher may still be available even if the python command is not configured correctly.

Method 2: Install Visual Studio Code

Once Python is installed, install Visual Studio Code.

1. Download the Windows version of Visual Studio Code.
2. Open the installer.
3. Accept the license agreement.
4. Select the installation location.
5. Continue through the installation options.
6. Install Visual Studio Code.
7. Launch it after installation.

During setup, options related to adding Visual Studio Code to the PATH or adding an Open with Code entry to the context menu can be useful.

After installation, you should see the main Visual Studio Code window.

You do not need to configure Python immediately. The editor can be customized after the Python extension has been installed.

Method 3: Install the Python Extension

The Python extension provides Python-specific features inside Visual Studio Code.

1. Open Visual Studio Code.
2. Click the Extensions icon on the left side.
3. Search for:

Python

4. Find the official Python extension from Microsoft.
5. Click Install.
6. Wait for the installation to finish.

The extension adds Python support to Visual Studio Code, including code completion, debugging, interpreter selection, linting support, and other development features.

You may also see additional Python-related extensions. Avoid installing multiple extensions that provide the same basic functionality unless you specifically need them.

For a normal Python setup, the official Python extension is the main extension you need.

Method 4: Create a Python Project Folder

Keeping your Python files organized in folders makes development easier.

Create a dedicated folder for your first project.

For example:

Documents\Python Projects\MyFirstProject

Then open the folder in Visual Studio Code.

1. Open Visual Studio Code.
2. Click File.
3. Select Open Folder.
4. Browse to your Python project folder.
5. Select the folder.
6. Click Select Folder.

Visual Studio Code will display the folder in the Explorer panel.

Working with a folder rather than opening individual files makes it easier to manage Python scripts, virtual environments, configuration files, and other project files.

Method 5: Select the Python Interpreter

Visual Studio Code needs to know which Python installation should be used to run your code.

After installing the Python extension:

1. Open your Python project in Visual Studio Code.
2. Create or open a file ending in .py.
3. Look at the bottom of the Visual Studio Code window.
4. Find the Python interpreter information.
5. Click it.
6. Select the Python installation you want to use.

You can also open the Command Palette with:

Ctrl + Shift + P

Then search for:

Python: Select Interpreter

Press Enter and choose the appropriate Python installation.

If multiple versions of Python are installed, you may see several interpreters in the list.

Choose the version you intend to use for the project.

Selecting the interpreter is important because Visual Studio Code may otherwise use a different Python installation than the one you expect.

Method 6: Create and Run Your First Python Program

Now you can create a simple Python program to confirm that everything is working.

1. In Visual Studio Code, create a new file.
2. Save it as:

hello.py

3. Enter the following code:

print("Hello, World!")

4. Save the file.

Visual Studio Code should recognize the file as Python automatically.

You can run it using the Run Python File button that appears near the top-right area of the editor.

Alternatively, open the integrated terminal and enter:

python hello.py

Press Enter.

You should see:

Hello, World!

in the terminal.

If the message appears, Python and Visual Studio Code are communicating correctly.

Method 7: Use the Integrated Terminal

Visual Studio Code includes a terminal, so you do not have to switch to a separate Command Prompt or PowerShell window for many Python tasks.

To open it:

1. Click Terminal in the top menu.
2. Select New Terminal.

A terminal panel will appear at the bottom of Visual Studio Code.

You can run Python commands directly from this terminal.

For example:

python --version

You can also run a Python file:

python hello.py

The integrated terminal is particularly useful for installing packages, running scripts, creating virtual environments, and checking command-line output.

The terminal may open using PowerShell, Command Prompt, or another configured shell depending on your Visual Studio Code settings.

Method 8: Create a Virtual Environment

Virtual environments allow individual Python projects to have their own packages and dependencies.

This prevents packages installed for one project from unnecessarily affecting another project.

Open the Visual Studio Code terminal inside your project folder and run:

python -m venv .venv

This creates a virtual environment named .venv.

You can then activate it in PowerShell with:

.venv\Scripts\Activate.ps1

If you are using Command Prompt, use:

.venv\Scripts\activate

After activation, the terminal should indicate that the virtual environment is active.

Visual Studio Code may detect the .venv environment automatically. If it does not, open the Command Palette and select:

Python: Select Interpreter

Then choose the interpreter located inside the .venv folder.

For example, the interpreter may appear similar to:

.venv\Scripts\python.exe

Using a virtual environment is especially useful for larger projects or projects that require third-party Python packages.

Install Python Packages in Visual Studio Code

Python packages can be installed from the integrated terminal.

For example, to install a package with pip, use:

python -m pip install package-name

Replace package-name with the package you need.

For example:

python -m pip install requests

If you are using a virtual environment, make sure it is activated before installing the package.

You can check installed packages with:

python -m pip list

This displays the packages installed in the currently selected Python environment.

Using python -m pip instead of simply pip can help ensure that the package is installed into the Python interpreter you are actually using.

Debug Python Code in Visual Studio Code

Visual Studio Code can also help you find problems in Python programs.

Create a simple program such as:

name = input("Enter your name: ")
print("Hello,", name)

You can run the program normally, or use the debugger when you need to inspect the code line by line.

To start debugging:

1. Open the Python file.
2. Click to the left of a line number to create a breakpoint.
3. Open the Run and Debug panel.
4. Start the Python debugging session.
5. When execution reaches the breakpoint, it will pause.
6. Inspect variables and continue through the program.

The debugger allows you to examine what your program is doing instead of relying only on printed output.

This becomes increasingly useful as your Python programs become more complicated.

Fix Python Not Detected in Visual Studio Code

If Visual Studio Code says that Python cannot be found, first check whether Python works outside the editor.

Open Command Prompt and run:

python --version

If that fails, try:

py --version

If Python is installed but Visual Studio Code cannot find it, manually select the interpreter.

1. Open Visual Studio Code.
2. Press Ctrl + Shift + P.
3. Search for Python: Select Interpreter.
4. Select the correct Python installation.
5. Open your Python file again.

If no interpreter appears, verify that Python is installed correctly and restart Visual Studio Code.

If you installed Python while Visual Studio Code was already open, restarting the editor can also help it recognize the new installation.

Fix the “Python Is Not Recognized” Error

If Windows displays an error indicating that python is not recognized as a command, Python may not be correctly configured in PATH.

First try:

py --version

If that works, you can use:

py hello.py

instead of:

python hello.py

If neither command works, reinstall Python and make sure the option to add Python to PATH is enabled during installation.

After reinstalling, close and reopen Visual Studio Code and check the interpreter again.

Conclusion

Setting up Visual Studio Code for Python on Windows 11 is straightforward once Python, Visual Studio Code, and the Python extension are installed correctly. The most important configuration step is selecting the correct Python interpreter so that Visual Studio Code knows which Python installation should run your programs.

After the basic setup, you can create a project folder, write Python files, run them through the integrated terminal, and use the built-in debugging features to find problems in your code. For projects that use multiple libraries, creating a virtual environment is also a useful way to keep dependencies separated.

If Visual Studio Code does not detect Python, check the Python installation from Command Prompt or PowerShell and then use Python: Select Interpreter inside Visual Studio Code. In most cases, selecting the correct interpreter or restarting the editor resolves the problem.

Once everything is configured, Visual Studio Code provides a complete environment for writing, running, testing, and debugging Python programs directly on Windows 11.

FAQs

1. Do I need to install Python before Visual Studio Code?

It is recommended to install Python first. Visual Studio Code is the editor, while Python provides the interpreter required to execute Python programs.

2. Which Python extension should I install in Visual Studio Code?

Install the official Python extension from Microsoft. It provides the main Python development features required for a normal setup.

3. Why does Visual Studio Code not detect my Python installation?

Use Ctrl + Shift + P, select Python: Select Interpreter, and choose the correct Python installation. If no interpreter appears, verify that Python is installed correctly.

4. Do I need a virtual environment for Python?

No, it is not required for every simple Python program. However, virtual environments are useful for keeping packages and dependencies separate between different projects.

Quick Summary

• Install Python and Visual Studio Code on Windows 11.
• Install the official Python extension from Microsoft.
• Select the correct Python interpreter using Python: Select Interpreter.
• Use the integrated terminal and virtual environments to manage and run Python projects.