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How to Install PIP in Visual Studio Code | PIP in VSCode (2023)

Run Python code

To experience Python, create a file (using the File Explorer) named

hello.py

and paste in the following code:


print("Hello World")

The Python extension then provides shortcuts to run Python code using the currently selected interpreter (Python: Select Interpreter in the Command Palette). To run the active Python file, click the Run Python File in Terminal play button in the top-right side of the editor.

You can also run individual lines or a selection of code with the Python: Run Selection/Line in Python Terminal command (Shift+Enter). If there isn’t a selection, the line with your cursor will be run in the Python Terminal. An identical Run Selection/Line in Python Terminal command is available on the context menu for a selection in the editor. The same terminal will be used every time you run a selection or a line in the terminal/REPL, until that terminal is closed. The same terminal is also used for Run Python File in Terminal. If that terminal is still running the REPL, you should exit the REPL (

exit()

) or switch to a different terminal before running a Python file.

The Python extension automatically removes indents based on the first non-empty line of the selection, shifting all other lines left as needed.

The command opens the Python Terminal if necessary; you can also open the interactive REPL environment directly using the Python: Start REPL command that activates a terminal with the currently selected interpreter and then runs the Python REPL.

For a more specific walkthrough and other ways of running code, see the run code tutorial.

Installing Pip in Visual Studio Code

How to Install Pip in Visual Studio Code? To install Pip in Visual Studio Code, follow these steps:

  1. Open Visual Studio Code.
  2. Click on the “Extensions” icon in the left-hand sidebar.
  3. Search for “Python” in the Extensions Marketplace search bar.
  4. Click on the “Install” button next to the “Python” extension.
  5. Once the installation is complete, restart Visual Studio Code.
  6. Open a Python file in Visual Studio Code.
  7. Click on the “Terminal” menu and select “New Terminal”.
  8. In the terminal window, type the following command and press Enter:


python -m ensurepip --default-pip

  1. Wait for the installation to complete. Once it’s done, you can start using Pip in Visual Studio Code!
How to Install PIP in Visual Studio Code | PIP in VSCode (2023)
How to Install PIP in Visual Studio Code | PIP in VSCode (2023)

Method 1: Install PIP on Windows Using get-pip.py

The first method uses cURL to download the installation file and additional configuration steps post-installation. Follow the steps below to install PIP using this method.

Step 1: Download PIP get-pip.py

Before installing PIP, download the get-pip.py file. Run the following cURL command in the command prompt:


curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

Wait for the download to complete before proceeding to the next step.

Step 2: Installing PIP on Windows

To install PIP, run the following Python command:


python get-pip.py

Note the location from the output warning, which will be required to add PIP to the Path environment variable.

Step 3: Verify Installation

To test whether the installation was successful, type the following command:


python -m pip help

If PIP is installed, the program runs without any errors. The output shows the software’s location and a list of

pip

commands.

Repeat the installation process or use the second method if you receive an error.

Step 4: Add Pip to Path

To run PIP from any location and as a standalone command, add it to Windows environment variables. Doing so resolves the “not on Path” error.

To add PIP to Path, follow these steps:

1. Open the Start menu, search for Environment Variables, and press Enter.

2. Click the Environment Variables button.

3. Double-click the Path variable to edit it.

4. Select New and add the directory where PIP is installed.

5. Click OK to save the changes.

6. Open a new command prompt session and run the following command to test the changes:


pip help

If the command does not work, try using

pip3

instead of

pip

. Alternatively, add the directory where Python is installed to Path and repeat the process.

Step 5: Configuration

In Windows, the PIP configuration file can be found in several locations. To view the current configuration and list all possible file locations, use the following command:


pip config -v list

The command shows the possible global, user, and site locations for the pip.ini configuration file. Below the locations are the current configuration settings, if any.

Using Pip in Visual Studio Code

Once you have installed Pip in Visual Studio Code, you can start using it to install and manage Python packages and dependencies. Here are some basic commands you can use with Pip:

  • pip install package_name: This command installs a Python package.
  • pip uninstall package_name: This command uninstalls a Python package.
  • pip freeze: This command displays a list of installed packages and their versions.
  • pip list: This command displays a list of installed packages.
  • pip search package_name: This command searches for a Python package in the Python Package Index (PyPI).

To use Pip in Visual Studio Code, simply open a Python file and open a terminal window. From there, you can use the above commands to install, uninstall, and manage Python packages.

How to install Python Libraries in Visual Studio Code
How to install Python Libraries in Visual Studio Code

Debugging

No more

For more specific information on debugging in Python, such as configuring your

launch.json

settings and implementing remote debugging, see Debugging. General VS Code debugging information is found in the debugging document.

Additionally, the Django and Flask tutorials provide examples of how to implement debugging in the context of web applications, including debugging Django templates.

Create a Python source code file

From the File Explorer toolbar, select the New File button on the

hello

folder:

Name the file

hello.py

, and VS Code will automatically open it in the editor:

By using the

.py

file extension, you tell VS Code to interpret this file as a Python program, so that it evaluates the contents with the Python extension and the selected interpreter.

Note: The File Explorer toolbar also allows you to create folders within your workspace to better organize your code. You can use the New folder button to quickly create a folder.

Now that you have a code file in your Workspace, enter the following source code in

hello.py

:


msg = "Roll a dice" print(msg)

When you start typing

IntelliSense and auto-completions work for standard Python modules as well as other packages you’ve installed into the environment of the selected Python interpreter. It also provides completions for methods available on object types. For example, because the

msg

variable contains a string, IntelliSense provides string methods when you type

msg.

:

Finally, save the file (⌘S (Windows, Linux Ctrl+S)). At this point, you’re ready to run your first Python file in VS Code.

For full details on editing, formatting, and refactoring, see Editing code. The Python extension also has full support for Linting.

How To Install & Use/Import Python Packages in Visual Studio Code (2022)
How To Install & Use/Import Python Packages in Visual Studio Code (2022)

Other popular Python extensions

The Microsoft Python extension provides all of the features described previously in this article. Additional Python language support can be added to VS Code by installing other popular Python extensions.

  1. Open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)).
  2. Filter the extension list by typing ‘python’.

The extensions shown above are dynamically queried. Click on an extension tile above to read the description and reviews to decide which extension is best for you. See more in the Marketplace.

Refresh or add entries to an existing requirements.txt file

If the requirements.txt file already exists, Visual Studio displays a prompt with several options:

  • Replace entire file: Overwrite all items, comments, and options defined in the requirements.text file.
  • Refresh existing entries: Update the version specifiers in the requirements.text file to match the currently installed version.
  • Update and add entries: Refresh existing requirements in the requirements.text file, and append all new package requirements to the end of the file.

Visual Studio runs

pip

to detect the current package requirements for the environment, and then updates your requirements.txt file based on your selection.

How to Install PIP in Python 3.10 | PIP Install in Python (Easy Method)
How to Install PIP in Python 3.10 | PIP Install in Python (Easy Method)

Download and install the Python workload

Complete the following steps to download and install the Python workload.

  1. Download and run the latest Visual Studio Installer for Windows. Python support is present in release 15.2 and later. If you have Visual Studio installed already, open Visual Studio and run the installer by selecting Tools > Get Tools and Features.

    Tip

    The Community edition is for individual developers, classroom learning, academic research, and open source development. For other uses, install Visual Studio Professional or Visual Studio Enterprise.

  2. The installer provides a list of workloads that are groups of related options for specific development areas. For Python, select the Python development workload and select Install:

    Python installation options Description Python distributions Choose any combination of Python distribution that you plan to work with. Common options include 32-bit and 64-bit variants of Python 2, Python 3, Miniconda, Anaconda 2, and Anaconda 3. Each option includes the distribution’s interpreter, runtime, and libraries. Anaconda, specifically, is an open data science platform that includes a wide range of preinstalled packages. Visual Studio automatically detects existing Python installations. For more information, see The Python Environments window. Also, if a newer version of Python is available than the version shown in the installer, you can install the new version separately and Visual Studio detects it. Cookiecutter template support Install the Cookiecutter graphical UI to discover templates, input template options, and create projects and files. For more information, see Use the Cookiecutter extension. Python web support Install tools for web development including HTML, CSS, and JavaScript editing support, along with templates for projects using the Bottle, Flask, and Django frameworks. For more information, see Python web project templates. Python native development tools Install the C++ compiler and other necessary components to develop native extensions for Python. For more information, see Create a C++ extension for Python. Also install the Desktop development with C++ workload for full C++ support.

    By default, the Python workload installs for all users on a computer under:

    %ProgramFiles%\Microsoft Visual Studio\

    \

    Common7\IDE\Extensions\Microsoft\Python

    where

    is 2022 and

    is Community, Professional, or Enterprise.

    %ProgramFiles(x86)%\Microsoft Visual Studio\

    \

    Common7\IDE\Extensions\Microsoft\Python

    where

    is 2019 or 2017 and

    is Community, Professional, or Enterprise.

Environments

The Python extension automatically detects Python interpreters that are installed in standard locations. It also detects conda environments as well as virtual environments in the workspace folder. See Configuring Python environments.

The current environment is shown on the right side of the VS Code Status Bar:

The Status Bar also indicates if no interpreter is selected:

The selected environment is used for IntelliSense, auto-completions, linting, formatting, and any other language-related feature. It is also activated when you run or debug Python in a terminal, or when you create a new terminal with the Terminal: Create New Terminal command.

To change the current interpreter, which includes switching to conda or virtual environments, select the interpreter name on the Status Bar or use the Python: Select Interpreter command.

VS Code prompts you with a list of detected environments as well as any you’ve added manually to your user settings (see Configuring Python environments).

How to Install PIP in Python 3.12 - Windows 10/11 (2023)
How to Install PIP in Python 3.12 – Windows 10/11 (2023)

Start VS Code in a workspace folder

By starting VS Code in a folder, that folder becomes your “workspace”.

Using a command prompt or terminal, create an empty folder called “hello”, navigate into it, and open VS Code (

code

) in that folder () by entering the following commands:


mkdir hello cd hello code .

Note: If you’re using an Anaconda distribution, be sure to use an Anaconda command prompt.

Alternately, you can create a folder through the operating system UI, then use VS Code’s File > Open Folder to open the project folder.

Upgrading PIP for Python on Windows

New versions of PIP are released occasionally. These versions may improve the functionality or be obligatory for security purposes.

To upgrade PIP on Windows, enter the following in the command prompt:


pip install --upgrade pip

This command uninstalls the previous version and then installs the most current version of PIP.

6 PYTHON How to install PIP LATEST on macbook using terminal
6 PYTHON How to install PIP LATEST on macbook using terminal

Next steps

  • Python Hello World tutorial – Get started with Python in VS Code.
  • Editing Python – Learn about auto-completion, formatting, and refactoring for Python.
  • Basic Editing – Learn about the powerful VS Code editor.
  • Code Navigation – Move quickly through your source code.
  • Django tutorial
  • Flask tutorial

Manage required Python packages with requirements.txt

If you share your Python project with others, or use a build system to produce your Python application, you need to specify any required external packages. When you plan to copy your project to other locations where you need to restore an environment, you also need to define the required dependent packages.

The recommended approach for specifying external dependent Python packages is to use a requirements file (readthedocs.org). This file contains a list of pip commands that install any required versions of dependent packages for your project. The most common command is

pip freeze > requirements.txt

. This command records your environment’s current package list into the requirements.txt file.

A requirements file contains precise versions of all installed packages. You can use requirements files to freeze the requirements of an environment. By using precise package versions, you can easily reproduce your environment on another computer. The requirements files include packages even if they’re installed with a version range, as a dependency of another package, or with an installer other than pip.

Test your install

Quickly check your installation of Python support:

  1. Launch Visual Studio.

  2. Select Alt + I to open the Python Interactive window.

  3. In the window, enter the statement


    2+2

    .

    The statement output

    displays in the window. If you don’t see the correct output, recheck your steps.

Pip Not Recognized | Python
Pip Not Recognized | Python

Python profile template

Profiles let you quickly switch your extensions, settings, and UI layout depending on your current project or task. To help you get started with Python development, you can use the Python profile template, which is a curated profile with useful extensions, settings, and snippets. You can use the profile template as is or use it as a starting point to customize further for you own workflows.

You select a profile template through the Profiles > Create Profile… dropdown:

Once you select a profile template, you can review the settings and extensions, and remove individual items if you don’t want to include them in your new Profile. After creating the new profile based on the template, changes made to settings, extensions, or UI are persisted in your profile.

Install and use packages

Let’s build upon the previous example by using packages.

In Python, packages are how you obtain any number of useful code libraries, typically from PyPI, that provide additional functionality to your program. For this example, you use the

numpy

package to generate a random number.

Return to the Explorer view (the top-most icon on the left side, which shows files), open

hello.py

, and paste in the following source code:


import numpy as np msg = "Roll a dice" print(msg) print(np.random.randint(1,9))

Tip: If you enter the above code by hand, you may find that auto-completions change the names after the


as

keywords when you press Enter at the end of a line. To avoid this, type a space, then Enter.

Next, run the file in the debugger using the “Python: Current file” configuration as described in the last section.

You should see the message, “ModuleNotFoundError: No module named ‘numpy'”. This message indicates that the required package isn’t available in your interpreter. If you’re using an Anaconda distribution or have previously installed the

numpy

package you may not see this message.

To install the

numpy

package, stop the debugger and use the Command Palette to run Terminal: Create New Terminal (⌃⇧` (Windows, Linux Ctrl+Shift+`)). This command opens a command prompt for your selected interpreter.

To install the required packages in your virtual environment, enter the following commands as appropriate for your operating system:

  1. Install the packages


    # Don't use with Anaconda distributions because they include matplotlib already. # macOS python3 -m pip install numpy # Windows (may require elevation) py -m pip install numpy # Linux (Debian) apt-get install python3-tk python3 -m pip install numpy

  2. Now, rerun the program, with or without the debugger, to view the output!

Congrats on completing the Python tutorial! During the course of this tutorial, you learned how to create a Python project, create a virtual environment, run and debug your Python code, and install Python packages. Explore additional resources to learn how to get the most out of Python in Visual Studio Code!

Using Microsoft Visual Studio to Import Python Libraries
Using Microsoft Visual Studio to Import Python Libraries

Generate the requirements.txt file

If all the necessary Python packages for your project are already installed in an environment, you can generate the requirements.txt file in Visual Studio.

  1. In Solution Explorer, expand your project, and then expand the Python Environments node.

  2. Locate the environment node for which you want to generate the requirements file. Right-click the node, and select Generate requirements.txt.

Install packages using the Python Environments window

  1. From the Python Environments window, select the default environment for new Python projects and choose the Packages tab. You’ll then see a list of packages that are currently installed in the environment.

  2. Install


    matplotlib

    by entering its name into the search field and then selecting the Run command: pip install matplotlib option. Running the command will install

    matplotlib

    , and any packages it depends on (in this case that includes

    numpy

    ).

  3. Choose the Packages tab.

  4. Consent to elevation if prompted to do so.

  5. After the package is installed, it appears in the Python Environments window. The X to the right of the package uninstalls it.

  6. Consent to elevation if prompted to do so.

  7. After the package installs, it appears in the Python Environments window. The X to the right of the package uninstalls it.

    Note

    A small progress bar might appear underneath the environment to indicate that Visual Studio is building its IntelliSense database for the newly-installed package. The IntelliSense tab also shows more detailed information. Be aware that until that database is complete, IntelliSense features like auto-completion and syntax checking won’t be active in the editor for that package.

    Visual Studio 2017 version 15.6 and later uses a different and faster method for working with IntelliSense, and displays a message to that effect on the IntelliSense tab.

How to run Python in Visual Studio Code on Windows 10/11 [ 2024 Update ] Python Developers
How to run Python in Visual Studio Code on Windows 10/11 [ 2024 Update ] Python Developers

Downgrading PIP Version

Downgrading may be necessary if a new version of PIP starts performing undesirably. To downgrade PIP to a prior version, specify the version you want.

To downgrade PIP, use the following syntax:


python -m pip install pip==[version_number]

For example, to downgrade to version 18.1, run:


python -m pip install pip==18.1

You should now see the version of PIP that you specified.

Note: Learn how to update packages using winget upgrade command.

Conclusion

After reading this guide, you’ve installed PIP and can manage your Python packages on Windows.

Next, check out our guide and learn how to install NumPy using PIP.

Install Python support in Visual Studio

Python support is available only on Visual Studio for Windows. On Mac and Linux, Python support is available through Visual Studio Code.

Autocomplete and IntelliSense

The Python extension supports code completion and IntelliSense using the currently selected interpreter. IntelliSense is a general term for a number of features, including intelligent code completion (in-context method and variable suggestions) across all your files and for built-in and third-party modules.

IntelliSense quickly shows methods, class members, and documentation as you type. You can also trigger completions at any time with ⌃Space (Windows, Linux Ctrl+Space). Hovering over identifiers will show more information about them.

How To Install Python Pip? | Install Pip On Windows | Python Training | Edureka
How To Install Python Pip? | Install Pip On Windows | Python Training | Edureka

Conclusion

Installing Pip in Visual Studio Code is a simple process that can greatly enhance your Python development experience. With Pip, you can easily install, update, and manage Python packages and dependencies, saving you time and effort. By following the steps outlined in this guide, you’ll be able to install Pip in Visual Studio Code and get started with Python development today!

Install Python support in Visual Studio

Python support is available only on Visual Studio for Windows. On Mac and Linux, Python support is available through Visual Studio Code.

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.

Note: If you don’t have admin access, an additional option for installing Python on Windows is to use the Microsoft Store. The Microsoft Store provides installs of supported Python versions.

For additional information about using Python on Windows, see Using Python on Windows at Python.org

macOS

The system install of Python on macOS is not supported. Instead, a package management system like Homebrew is recommended. To install Python using Homebrew on macOS use

brew install python3

at the Terminal prompt.

Note: On macOS, make sure the location of your VS Code installation is included in your PATH environment variable. See these setup instructions for more information.

Linux

The built-in Python 3 installation on Linux works well, but to install other Python packages you must install

pip

with get-pip.py.

Other options

  • Data Science: If your primary purpose for using Python is Data Science, then you might consider a download from Anaconda. Anaconda provides not just a Python interpreter, but many useful libraries and tools for data science.

  • Windows Subsystem for Linux: If you are working on Windows and want a Linux environment for working with Python, the Windows Subsystem for Linux (WSL) is an option for you. If you choose this option, you’ll also want to install the WSL extension. For more information about using WSL with VS Code, see VS Code Remote Development or try the Working in WSL tutorial, which will walk you through setting up WSL, installing Python, and creating a Hello World application running in WSL.

Note: To verify that you’ve installed Python successfully on your machine, run one of the following commands (depending on your operating system):

Linux/macOS: open a Terminal Window and type the following command:


python3 --version

Windows: open a command prompt and run the following command:


py -3 --version

If the installation was successful, the output window should show the version of Python that you installed. Alternatively, you can use the


py -0

command in the VS Code integrated terminal to view the versions of python installed on your machine. The default interpreter is identified by an asterisk (*).

como INSTALAR PIP en visual studio code 🚀
como INSTALAR PIP en visual studio code 🚀

Installing Python

How to Install Pip in Visual Studio Code? Before you can install Pip in Visual Studio Code, you need to have Python installed on your computer. If you don’t have Python installed, you can download and install it from the official Python website. Follow these steps to install Python:

  1. Go to the official Python website (python.org) and click on the “Downloads” link.
  2. Choose the version of Python you want to install (e.g., Python 3.9.4).
  3. Select the appropriate installer for your operating system (e.g., Windows, macOS, Linux).
  4. Download the installer and run it.
  5. Follow the installation wizard instructions to install Python on your computer.

Once you have installed Python, you can proceed with installing Pip in Visual Studio Code.

Feedback

Submit and view feedback for

I’m collaborating with some fellow students to build a python app, and was hoping to use the ‘training wheels’ of Visual Studio intelli-sense. They use python on mac and linux, so ideally our source control repo would consist of just

*.py

source files that we wrote, and a

requirements.txt

export of pip dependancies (using the

pip freeze

method).

I would love to be able to create a new Visual Studio project, then be able to run the following commands (for instance) within that project:


pip install boto pip install fabric pip install cuisine pip freeze > requirements.txt

And after that, be able to write some code that references these libraries and be able to run it from within Visual Studio.

Is there any way to do this? Is Python within Visual Studio even able to handle modules in the format they are available within pip, or do all python libraries used in VS have to have been pre-compiled for Windows?

Introduction

PIP is a package management system that installs and manages software packages written in Python. It stands for “Preferred Installer Program” or “Pip Installs Packages.” The utility manages PyPI package installations from the command line.

Installing PIP on Windows is simple. It requires downloading the installation package, opening the command line, and launching the installer.

This tutorial will show how to install PIP on Windows using two methods. We will also show you how to check, upgrade, and configure PIP.

Note: The latest versions of Python come with PIP pre-installed, but older versions require manual installation. The following guide is for version 3.4 and above. If you are using an older version of Python, follow our guide to upgrade Python.

Prerequisites

  • Access to Command Prompt.
  • Python installed and added to PATH.
Python Tutorial: pip - An in-depth look at the package management system
Python Tutorial: pip – An in-depth look at the package management system

Enhance completions with AI

GitHub Copilot is an AI-powered code completion tool that helps you write code faster and smarter. You can use the GitHub Copilot extension in VS Code to generate code, or to learn from the code it generates.

GitHub Copilot provides suggestions for languages beyond Python and a wide variety of frameworks, including JavaScript, TypeScript, Ruby, Go, C# and C++.

You can learn more about how to get started with Copilot in the Copilot documentation.

Manually install package dependencies

If pip doesn’t install a package dependency defined in your requirements.txt file, the entire installation fails.

You have two options to address this issue:

  • Manually edit the requirements.txt file to exclude the failed package, and then rerun the installation process.

  • Use pip command options to refer to an installable version of the package.

Update the requirements file with pip wheel

If you use the

pip wheel

command to compile a dependency, you can add the

--find-links

option to your requirements.txt file.

  1. Call the


    pip wheel

    command to compile the list of required dependencies:

    pip wheel azure

    The output shows the wheels built for the collected packages:


    Downloading/unpacking azure Running setup.py (path:C:\Project\env\build\azure\setup.py) egg_info for package azure Building wheels for collected packages: azure Running setup.py bdist_wheel for azure Destination directory: c:\project\wheelhouse Successfully built azure Cleaning up...

  2. Append the


    find-links

    and

    no-index

    options, along with the package version requirement to your requirements.txt file:

    type requirements.txt --find-links wheelhouse --no-index azure==0.8.0

  3. Run the pip install process with your updated requirements file:


    pip install -r requirements.txt -v

    The output tracks progress for the installation process:


    Downloading/unpacking azure==0.8.0 (from -r requirements.txt (line 3)) Local files found: C:/Project/wheelhouse/azure-0.8.0-py3-none-any.whl Installing collected packages: azure Successfully installed azure Cleaning up... Removing temporary dir C:\Project\env\build...

Beginners Guide to Run DhanHQ APIs for API Trading | What is Algo Trading? | EP-02 | Dhan
Beginners Guide to Run DhanHQ APIs for API Trading | What is Algo Trading? | EP-02 | Dhan

Download and install the Python workload

Complete the following steps to download and install the Python workload.

  1. Download and run the latest Visual Studio Installer for Windows. Python support is present in release 15.2 and later. If you have Visual Studio installed already, open Visual Studio and run the installer by selecting Tools > Get Tools and Features.

    Tip

    The Community edition is for individual developers, classroom learning, academic research, and open source development. For other uses, install Visual Studio Professional or Visual Studio Enterprise.

  2. The installer provides a list of workloads that are groups of related options for specific development areas. For Python, select the Python development workload and select Install:

    Python installation options Description Python distributions Choose any combination of Python distribution that you plan to work with. Common options include 32-bit and 64-bit variants of Python 2, Python 3, Miniconda, Anaconda 2, and Anaconda 3. Each option includes the distribution’s interpreter, runtime, and libraries. Anaconda, specifically, is an open data science platform that includes a wide range of preinstalled packages. Visual Studio automatically detects existing Python installations. For more information, see The Python Environments window. Also, if a newer version of Python is available than the version shown in the installer, you can install the new version separately and Visual Studio detects it. Cookiecutter template support Install the Cookiecutter graphical UI to discover templates, input template options, and create projects and files. For more information, see Use the Cookiecutter extension. Python web support Install tools for web development including HTML, CSS, and JavaScript editing support, along with templates for projects using the Bottle, Flask, and Django frameworks. For more information, see Python web project templates. Python native development tools Install the C++ compiler and other necessary components to develop native extensions for Python. For more information, see Create a C++ extension for Python. Also install the Desktop development with C++ workload for full C++ support.

    By default, the Python workload installs for all users on a computer under:

    %ProgramFiles%\Microsoft Visual Studio\

    \

    Common7\IDE\Extensions\Microsoft\Python

    where

    is 2022 and

    is Community, Professional, or Enterprise.

    %ProgramFiles(x86)%\Microsoft Visual Studio\

    \

    Common7\IDE\Extensions\Microsoft\Python

    where

    is 2019 or 2017 and

    is Community, Professional, or Enterprise.

Checking if You Have PIP Installed on Windows

PIP is automatically installed with Python 3.4.x+. However, depending on how Python was installed, PIP may not be available on the system automatically. Before installing PIP on Windows, check if it is already installed:

1. Launch the command prompt window by pressing Windows Key + X and clicking Run.

2. Type in cmd.exe and hit enter.

Alternatively, type cmd in the Windows search bar and click the “Command Prompt” icon.

3. Type the following command in the command prompt:


pip help

If PIP responds with an error message saying the command is not recognized, follow one of the methods below to install it.

Note: Check out our other guides to learn how to install PIP on other operating systems:

How To Create & Activate A Virtual Environment In Visual Studio Code (Python 3.12)
How To Create & Activate A Virtual Environment In Visual Studio Code (Python 3.12)

Why Use Pip with Visual Studio Code?

Visual Studio Code is a powerful code editor that offers many features and tools for Python development, such as code completion, debugging, and integrated terminal. By installing Pip in Visual Studio Code, you can easily install and manage Python packages and dependencies without leaving the editor. This saves you time and effort, and allows you to focus on your coding tasks.

Also Read:Get All InfoHow to Use VS Code for Python Beginners?

Test your install

Quickly check your installation of Python support:

  1. Launch Visual Studio.

  2. Select Alt + I to open the Python Interactive window.

  3. In the window, enter the statement


    2+2

    .

    The statement output

    displays in the window. If you don’t see the correct output, recheck your steps.

How to Install PIP for Python
How to Install PIP for Python

Configure and run the debugger

Let’s now try debugging our Python program. Debugging support is provided by the Python Debugger extension, which is automatically installed with the Python extension. To ensure it has been installed correctly, open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)) and search for

@installed python debugger

. You should see the Python Debugger extension listed in the results.

Next, set a breakpoint on line 2 of

hello.py

by placing the cursor on the

Next, to initialize the debugger, press F5. Since this is your first time debugging this file, a configuration menu will open from the Command Palette allowing you to select the type of debug configuration you would like for the opened file.

Note: VS Code uses JSON files for all of its various configurations;


launch.json

is the standard name for a file containing debugging configurations.

Select Python File, which is the configuration that runs the current file shown in the editor using the currently selected Python interpreter.

The debugger will start, and then stop at the first line of the file breakpoint. The current line is indicated with a yellow arrow in the left margin. If you examine the Local variables window at this point, you can see that the

msg

variable appears in the Local pane.

A debug toolbar appears along the top with the following commands from left to right: continue (F5), step over (F10), step into (F11), step out (⇧F11 (Windows, Linux Shift+F11)), restart (⇧⌘F5 (Windows, Linux Ctrl+Shift+F5)), and stop (⇧F5 (Windows, Linux Shift+F5)).

The Status Bar also changes color (orange in many themes) to indicate that you’re in debug mode. The Python Debug Console also appears automatically in the lower right panel to show the commands being run, along with the program output.

To continue running the program, select the continue command on the debug toolbar (F5). The debugger runs the program to the end.

Tip Debugging information can also be seen by hovering over code, such as variables. In the case of


msg

, hovering over the variable will display the string

Roll a dice!

in a box above the variable.

You can also work with variables in the Debug Console (If you don’t see it, select Debug Console in the lower right area of VS Code, or select it from the … menu.) Then try entering the following lines, one by one, at the > prompt at the bottom of the console:


msg msg.capitalize() msg.split()

Select the blue Continue button on the toolbar again (or press F5) to run the program to completion. “Roll a dice!” appears in the Python Debug Console if you switch back to it, and VS Code exits debugging mode once the program is complete.

If you restart the debugger, the debugger again stops on the first breakpoint.

To stop running a program before it’s complete, use the red square stop button on the debug toolbar (⇧F5 (Windows, Linux Shift+F5)), or use the Run > Stop debugging menu command.

For full details, see Debugging configurations, which includes notes on how to use a specific Python interpreter for debugging.

Tip: Use Logpoints instead of print statements: Developers often litter source code with

Install dependencies in a virtual environment

You can also install the Python package dependencies in an existing virtual environment.

  1. In Solution Explorer, expand your project, and then expand the Python Environments node.

  2. Locate the virtual environment node that you want to install the packages for. Right-click the node, and select Install from requirements.txt.

If you need to create a virtual environment, see Use virtual environments.

How to Run PIP install From Windows 10 Command Prompt To Install Python Packages
How to Run PIP install From Windows 10 Command Prompt To Install Python Packages

Install dependencies listed in requirements.txt

If you load a project that has a requirements.txt file, you can install all the package dependencies listed in the file.

  1. In Solution Explorer, expand the project, and then expand the Python Environments node.

  2. Locate the environment node that you want to install the packages for. Right-click the node, and select Install from requirements.txt.

  3. You can monitor the package installation process in the Output window:

    The output lists any required packages that are installed, along with any updates required for affected pip commands and the availability of newer pip versions.

Jupyter notebooks

To enable Python support for Jupyter notebook files (

.ipynb

) in VS Code, you can install the Jupyter extension. 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, as well as run and debug them.

You can also convert and open the notebook as a Python code file through the Jupyter: Export to Python Script command. The notebook’s cells are delimited in the Python file with

#%%

comments, and the Jupyter extension shows Run Cell or Run Below CodeLens. Selecting either CodeLens starts the Jupyter server and runs the cell(s) in the Python interactive window:

You can also connect to a remote Jupyter server to run your notebooks. For more information, see Jupyter support.

How to Run Python 3.12 in Visual Studio Code on Windows 10 [2023]| Run Sample Python Program
How to Run Python 3.12 in Visual Studio Code on Windows 10 [2023]| Run Sample Python Program

Testing

The Python extension supports testing with Python’s built-in unittest framework and pytest.

In order to run tests, you must enable one of the supported testing frameworks in the settings of your project. Each framework has its own specific settings, such as arguments for identifying the paths and patterns for test discovery.

Once the tests have been discovered, VS Code provides a variety of commands (on the Status Bar, the Command Palette, and elsewhere) to run and debug tests. These commands also allow you to run individual test files and methods

View environments

  1. Select the View > Other Windows > Python Environments menu command. The Python Environments window opens as a peer to Solution Explorer and shows the different environments available to you. The list shows both environments that you installed using the Visual Studio installer and environments you installed separately. That includes global, virtual, and conda environments. The environment in bold is the default environment that’s used for new projects. For more information about working with environments, see How to create and manage Python environments in Visual Studio environments.

    Note

    You can also use the Ctrl+K, Ctrl+` keyboard shortcut to open the Python Environments window from the Solution Explorer window. If the shortcut doesn’t work and you can’t find the Python Environments window in the menu, it’s possible that you haven’t installed the Python workload. See How to install Python support in Visual Studio on Windows for guidance about how to install Python.

    With a Python project open, you can open the Python Environments window from Solution Explorer. Right-click Python Environments and select View All Python Environments.

  2. Now, create a new project with File > New > Project, selecting the Python Application template.

  3. In the code file that appears, paste the following code, which creates a cosine wave like the previous tutorial steps, only this time plotted graphically. You can also use the project you previously created and replace the code.


    from math import radians import numpy as np # installed with matplotlib import matplotlib.pyplot as plt def main(): x = np.arange(0, radians(1800), radians(12)) plt.plot(x, np.cos(x), 'b') plt.show() main()

  4. In the editor window, hover over the


    numpy

    and

    matplotlib

    import statements. You’ll notice that they aren’t resolved. To resolve the import statements, install the packages to the default global environment.

  5. When you look at the editor window, notice that when you hover over the


    numpy

    and

    matplotlib

    import statements that they aren’t resolved. The reason is the packages haven’t been installed to the default global environment.

    For example, select Open interactive window and an Interactive window for that specific environment appears in Visual Studio.

  6. Use the drop-down list below the list of environments to switch to the Packages tab.The Packages tab lists all packages that are currently installed in the environment.

How to solve: \
How to solve: \”ModuleNotFoundError\” in Python (pip: command not found)

Run Python code

Click the Run Python File in Terminal play button in the top-right side of the editor.

The button opens a terminal panel in which your Python interpreter is automatically activated, then runs

python3 hello.py

(macOS/Linux) or

python hello.py

(Windows):

There are three other ways you can run Python code within VS Code:

  1. Right-click anywhere in the editor window and select Run > Python File in Terminal (which saves the file automatically):

  2. 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.

  3. 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.

Congrats, you just ran your first Python code in Visual Studio Code!

Install packages using the Python Environments window

  1. From the Python Environments window, select the default environment for new Python projects and choose the Packages tab. You’ll then see a list of packages that are currently installed in the environment.

  2. Install


    matplotlib

    by entering its name into the search field and then selecting the Run command: pip install matplotlib option. Running the command will install

    matplotlib

    , and any packages it depends on (in this case that includes

    numpy

    ).

  3. Choose the Packages tab.

  4. Consent to elevation if prompted to do so.

  5. After the package is installed, it appears in the Python Environments window. The X to the right of the package uninstalls it.

  6. Consent to elevation if prompted to do so.

  7. After the package installs, it appears in the Python Environments window. The X to the right of the package uninstalls it.

    Note

    A small progress bar might appear underneath the environment to indicate that Visual Studio is building its IntelliSense database for the newly-installed package. The IntelliSense tab also shows more detailed information. Be aware that until that database is complete, IntelliSense features like auto-completion and syntax checking won’t be active in the editor for that package.

    Visual Studio 2017 version 15.6 and later uses a different and faster method for working with IntelliSense, and displays a message to that effect on the IntelliSense tab.

How to Install Python Packages in Visual Studio Code (2023)
How to Install Python Packages in Visual Studio Code (2023)

Create a virtual environment

A best practice among Python developers is to use a project-specific

virtual environment

. Once you activate that environment, any packages you then install are isolated from other environments, including the global interpreter environment, reducing many complications that can arise from conflicting package versions. You can create non-global environments in VS Code using Venv or Anaconda with Python: Create Environment.

Open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), start typing the Python: Create Environment command to search, and then select the command.

The command presents a list of environment types, Venv or Conda. For this example, select Venv.

The command then presents a list of interpreters that can be used for your project. Select the interpreter you installed at the beginning of the tutorial.

After selecting the interpreter, a notification will show the progress of the environment creation and the environment folder (

/.venv

) will appear in your workspace.

Ensure your new environment is selected by using the Python: Select Interpreter command from the Command Palette.

Note: For additional information about virtual environments, or if you run into an error in the environment creation process, see Environments.

Troubleshooting Pip Installation Issues

If you run into issues while installing Pip in Visual Studio Code, here are some common troubleshooting tips:

  • Make sure you have the latest version of Visual Studio Code installed.
  • Make sure you have the latest version of Python installed.
  • Make sure you have administrative privileges on your computer.
  • Make sure you are connected to the internet.
  • Make sure you have the correct path set for Python in your system environment variables.
  • Try running Visual Studio Code as an administrator.

If none of these solutions work, you can try uninstalling and reinstalling Python and Visual Studio Code, or seek help from the Python or Visual Studio Code communities.

How To Install Python Libraries In Visual Studio Code (Windows 11)
How To Install Python Libraries In Visual Studio Code (Windows 11)

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Python in Visual Studio Code

Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters. It leverages all of VS Code’s power to provide auto complete and IntelliSense, linting, debugging, and unit testing, along with the ability to easily switch between Python environments, including virtual and conda environments.

This article provides only an overview of the different capabilities of the Python extension for VS Code. For a walkthrough of editing, running, and debugging code, use the button below.

Method 2: Install PIP on Windows Using ensurepip

The second method uses Python to install PIP without downloading or running any scripts. Enter the following command in the command prompt:


python -m ensurepip --upgrade

Wait for the installation to complete. Check that PIP is installed correctly with the following command:


pip --version

The command outputs the PIP version to the console.

Note: If the command is not found, add Python to the Path environment variable. Or, try using the command as

pip3

instead of

pip

.

Install python packages using visual studio code terminal - how to install package using pip?
Install python packages using visual studio code terminal – how to install package using pip?

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 the extension from the VS Code Marketplace.

Note: To help get you started with Python development, you can use the Python profile template that includes useful extensions, settings, and Python code snippets.

Once you have a version of Python installed, select it using the Python: Select Interpreter command. If VS Code doesn’t automatically locate the interpreter you’re looking for, refer to Environments – Manually specify an interpreter.

You can configure the Python extension through settings. Learn more in the Python Settings reference.

Windows Subsystem for Linux: If you are on Windows, WSL is a great way to do Python development. You can run Linux distributions on Windows and Python is often already installed. When coupled with the WSL extension, you get full VS Code editing and debugging support while running in the context of WSL. To learn more, go to Developing in WSL or try the Working in WSL tutorial.

Prerequisites

  • Visual Studio installed with support for Python workloads. For more information, see Install Python support in Visual Studio.

  • A requirements file. You can use an existing requirements file or generate a file as described in this article.

Technically, any filename can be used to track requirements. However, Visual Studio provides specific support for the requirements file named “requirements.txt.” You can use the

-r

argument when you install a package to specify your preferred name for the file.

How To Pip Install Visual Studio Code Tutorial
How To Pip Install Visual Studio Code Tutorial

Feedback

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Step 5: Install packages in your Python environment

Previous step: Run code in the debugger

The Python developer community has produced thousands of useful packages that you can incorporate into your own projects. Visual Studio provides a UI to manage packages in your Python environments.

Next steps

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

There is then 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.
  • Deploy Python to Azure App Service
  • Deploy Python to Container Apps

Python is a popular programming language used for web development, data analysis, machine learning, and more. If you’re just starting with Python, one of the first things you’ll need to do is install pip. Pip is a package manager for Python that makes it easy to install, update, and manage Python packages and dependencies.

Hướng dẫn cài đặt Python và sử dụng Visual Studio Code
Hướng dẫn cài đặt Python và sử dụng Visual Studio Code

Frequently Asked Questions

Q: What is a package manager?A: A package manager is a tool that makes it easy to install, update, and manage software packages and dependencies.

Q: What is PyPI?A: PyPI stands for Python Package Index. It is a repository of software packages for the Python programming language.

Q: Can I use Pip with other code editors besides Visual Studio Code?A: Yes, Pip can be used with other code editors and IDEs, such as PyCharm, Sublime Text, and Atom.

View environments

  1. Select the View > Other Windows > Python Environments menu command. The Python Environments window opens as a peer to Solution Explorer and shows the different environments available to you. The list shows both environments that you installed using the Visual Studio installer and environments you installed separately. That includes global, virtual, and conda environments. The environment in bold is the default environment that’s used for new projects. For more information about working with environments, see How to create and manage Python environments in Visual Studio environments.

    Note

    You can also use the Ctrl+K, Ctrl+` keyboard shortcut to open the Python Environments window from the Solution Explorer window. If the shortcut doesn’t work and you can’t find the Python Environments window in the menu, it’s possible that you haven’t installed the Python workload. See How to install Python support in Visual Studio on Windows for guidance about how to install Python.

    With a Python project open, you can open the Python Environments window from Solution Explorer. Right-click Python Environments and select View All Python Environments.

  2. Now, create a new project with File > New > Project, selecting the Python Application template.

  3. In the code file that appears, paste the following code, which creates a cosine wave like the previous tutorial steps, only this time plotted graphically. You can also use the project you previously created and replace the code.


    from math import radians import numpy as np # installed with matplotlib import matplotlib.pyplot as plt def main(): x = np.arange(0, radians(1800), radians(12)) plt.plot(x, np.cos(x), 'b') plt.show() main()

  4. In the editor window, hover over the


    numpy

    and

    matplotlib

    import statements. You’ll notice that they aren’t resolved. To resolve the import statements, install the packages to the default global environment.

  5. When you look at the editor window, notice that when you hover over the


    numpy

    and

    matplotlib

    import statements that they aren’t resolved. The reason is the packages haven’t been installed to the default global environment.

    For example, select Open interactive window and an Interactive window for that specific environment appears in Visual Studio.

  6. Use the drop-down list below the list of environments to switch to the Packages tab.The Packages tab lists all packages that are currently installed in the environment.

How to Install Tkinter in Visual Studio Code - (Windows 10/11)
How to Install Tkinter in Visual Studio Code – (Windows 10/11)

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Getting Started with Python in VS 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! By using the Python extension, you turn VS Code into a great, lightweight Python editor.

If you are new to programming, check out the Visual Studio Code for Education – Introduction to Python course. This course offers a comprehensive introduction to Python, featuring structured modules in a ready-to-code browser-based development environment.

To gain a deeper understanding of the Python language, you can explore any of the programming tutorials listed on python.org within the context of VS Code.

For a Data Science focused tutorial with Python, check out our Data Science section.

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