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Download Python Tools For Visual Studio | Test Your Install

How to Setup Python on Microsoft Visual Studio 2022 | Amit Thinks

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.

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.

How to Setup Python on Microsoft Visual Studio 2022 | Amit Thinks
How to Setup Python on Microsoft Visual Studio 2022 | Amit Thinks

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.

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

Python Tools in Visual Studio (PTVS) is an extremely powerful tool because of the following reasons:

  • It gives Python developers a powerful IDE with many helpful coding features and integrations in one unique environment.

  • PTVS provides developers on the Windows platform the opportunity to use their favorite IDE—Visual Studio—to explore, learn, and manage one of the most commonly used scripting languages.

In this chapter, we will have a high-level overview of PTVS, starting with a step-by-step tutorial for installing and configuring it correctly followed by a quick overview of the principle tools of Visual Studio to control the Python environment and configuration. Understanding the Visual Studio windows will greatly benefit your ability to explore and manage workflows of the source code and the structure of your Python project.

There are various formats of PTVS available for installation depending on your preexisting installed version of Visual Studio. PTVS is available for Visual Studio 2010, 2012, and 2013 (Pro edition or above).

If the previously mentioned versions of Visual Studio are not installed on your computer, it’s possible to install a standalone version of PTVS. Visual Studio permits side-by-side installation, meaning it provides the ability to install multiple versions on one system. The only prerequisite is that the older version must be installed before the newer one.

The different types of installations possible for PTVS are described on its CodePlex website, http://go.microsoft.com/fwlink/?LinkID=390659.

The preceding figure is taken from http://go.microsoft.com/fwlink/?LinkID=390659.

The most important prerequisite for Visual Studio 2013 is to have Windows 7 (32 or 64 bit) or above running as your operating system.

Once you have sorted out the prerequisites and installed the PTVS package of your choice, you will need to decide on the type of Python interpreter. Choosing the appropriate Python interpreter depends on your need for your project. Refer to the PTVS CodePlex page at http://go.microsoft.com/fwlink/?LinkID=299429 to help your decision-making process. You can choose between CPython and IronPython (32 or 64 bit). If you chose CPython, then you can choose between Python Version 2.7 and 3.3. It is recommended to use CPython 3.3 32 bit for most cases. For web development, the recommendation would be CPython 2.7 32 bit.

Make your choice based on what you intend to do and the framework that you will be using with Python. For the scope of this book, we suggest to install the 32-bit CPython Version 2.7. For the latest complete list of downloadable Python interpreters, please refer to the PTVS CodePlex page at http://go.microsoft.com/fwlink/?LinkID=390659.

Once the interpreter is installed, you can fire up PTVS by opening the Visual Studio 2013 application from the Start menu. If everything works, this is what you are going to see on your screen:

Let’s check whether the whole system works properly. Create a new project and see if it runs as follows:

  1. To create a new project, navigate to the New Project menu under File to launch the New Project dialog box.

  2. Select Python Application and click on OK. This will create a new project and a basic


    Hello World

    Python application file.

  3. Start the app by clicking on the Start button in the toolbar, or just hit F5.

  4. If you have any previous installations of Python on your system, you should see the application response window with the Hello World message, as shown in the following screenshot:

Now that you have PTVS up and running, let’s take a closer look at the various tools provided by Visual Studio that empower the Python development cycle. Let’s start with the windows, which are accessible through the View menu:

From the View menu, you can choose two windows that are more important for Python:

  • Python Environments

  • Python Interactive

The Python Environments window shows all the Python interpreters’ versions (environments) installed on the system. For each of them, an interactive window called read–eval–print loop (REPL) can be accessed, and it’s possible to see the status of the package analysis made on all the packages installed. This is used by Visual Studio to carry out syntax and type analyses of all the classes and methods available for a given Python environment.

Since the analysis of Python code is complex, it’s possible that you will not see progress in the Completion DB when you open it the first time. Even if Visual Studio performs background analysis to not interfere with the user experience of the IDE, the first analysis can take from one minute to an hour. This depends on different factors such as the number of installed libraries in the Python environment and the system resources available. Once the analysis of all the Python packages in Visual Studio is complete, the message Completion DB is up to date will be shown on the row of a given Python environment.

The Completion DB is automatically updated every time we open a new project in PTVS or install a new Python library; in such cases, Visual Studio reruns the background analysis on the new reachable code.

Sometimes, the automated background analysis process could be disabled or blocked, and the lists of installed libraries are not shown automatically. If the newly installed libraries and packages are not shown, we can manually trigger the analysis process with the Refresh DB button. By clicking on the button, we re-enable it, forcing a background analysis.

The Python Environments tool window with the list of installed Python environments and the tool buttons to access most used functions

Clicking on the View in File Explorer link in the Python Environments window will provide you with direct access to the Python installation folder.

The Python Interactive window gives you access to the standard REPL tool for Python directly in the IDE along with the ability to access the modules that you are developing. This is a great and quick way to debug and test some code snippets.

The Python Interactive tool window from where you can access the Python standard REPL tool

Besides the normal Python commands available in the standard Python REPL, Microsoft has further added some commands that are reachable by the $ (dollar) symbol. The list of available commands is available through

$help

.

Visual Studio offers lots of standard tool windows to control the structure and workflow of your application. The main tool windows are Solution Explorer, Properties, Find Symbol Results, and Object Browser, as shown in the following screenshot:

To the right, we have the Solution Explorer window. It provides a glimpse of the structure of the current solution. In Visual Studio, a solution is a bundle of projects. In the Solution Explorer window, not only can you manage the different source files of the projects, but also configure the Python environment and the packages used in it (i.e. references and dependencies).

Besides the file structure of the project, the Solution Explorer window also provides a class view, which shows an overview of all the classes and structures (i.e. fields, properties, and methods). This is a quick view of the more complex window, Object Browser, which is visible in the middle of the screenshot. This window is accessible through the Object Browser menu item under View (or using the Ctrl + Alt + J shortcut). The two tools together provide a manner to browse and navigate the object structure of your code.

Under the Solution Explorer window, we can find the Properties window that shows the properties related to various objects of your projects such as the single source code files in it. It also shows more detailed information, for example, the path, and how it has to be managed in the built system of the files.

The most important and powerful window we have in PTVS is the source code window, which is where any programmer spends most of his/her time. It provides multitab source code navigation; every pane is a single source code file:

In each pane there are two comboboxes. The left one provides the function to navigate between classes in the file; the right one provides the function to navigate between methods of the selected class. In the source code window, Visual Studio unleashes much more powerful tools such as refactoring, IntelliSense, and code traversing, which we will explore in depth in the next chapters.

There are other windows that will become clearer during our exploration of PTVS in the coming chapters, such as the Find Symbol Results window at the bottom of the screenshot. That window shows the result of a search command or the list of references of a given code element, like a method, class, or property.

In this chapter, we introduced a quick high-level overview of PTVS and the basis of it. Now that you have PTVS up and running and have familiarized yourself with the two windows, you are ready to dive into PTVS with more detailed project knowledge in the following chapters.

In the next chapter, we’ll go in to more detail and start to analyze the coding tools that Visual Studio provides in PTVS that can tremendously help during the coding process and also manage Python projects.

How to install Python Tools for Visual Studio 2013 [2018]
How to install Python Tools for Visual Studio 2013 [2018]

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.

Version Control integration

Collaborate on code with Git

Use Git as the default source control experience in Visual Studio right out of the box. From the new Git menu, you can create or clone repositories from GitHub or Azure DevOps. Use the integrated Git tool windows to commit and push changes to your code, manage branches, sync with your remote repositories, and resolve merge conflicts.

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

Feedback

Submit and view feedback for

  • \n

    [!Tip]\nThe 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 .

    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 .

    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

    :

    \n

    :::image type=\”content\” source=\”media/installation-python-workload.png\” alt-text=\”Screenshot of the Python development workload selected in the Visual Studio installer.\” lightbox=\”media/installation-python-workload.png\”:::

    \n\n\n\nPython installation options\nDescription\n\n\n\n\n

    Python distributions

    \nChoose 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.\n\n\n

    Cookiecutter template support

    \nInstall the Cookiecutter graphical UI to discover templates, input template options, and create projects and files. For more information, see

    Use the Cookiecutter extension

    .\n\n\n

    Python web support

    \nInstall 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

    .\n\n\n

    Python native development tools

    \nInstall 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.\n\n\n\n

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

    \n

    :::moniker range=\”>=vs-2022\”

    \n

    %ProgramFiles%\\Microsoft Visual Studio\\

    \\

    Common7\\IDE\\Extensions\\Microsoft\\Python

    \n

    where

    is 2022 and

    is Community, Professional, or Enterprise.

    \n

    :::moniker-end\n:::moniker range=\”<=vs-2019\”

    \n

    %ProgramFiles(x86)%\\Microsoft Visual Studio\\

    \\

    Common7\\IDE\\Extensions\\Microsoft\\Python

    \n

    where

    is 2019 or 2017 and

    is Community, Professional, or Enterprise.

    \n

    :::moniker-end

    \n

  • \n

  • \n

    [!Tip]\nThe 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 .

    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 .

    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

    :

    \n

    :::image type=\”content\” source=\”media/installation-python-workload.png\” alt-text=\”Screenshot of the Python development workload selected in the Visual Studio installer.\” lightbox=\”media/installation-python-workload.png\”:::

    \n\n\n\nPython installation options\nDescription\n\n\n\n\n

    Python distributions

    \nChoose 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.\n\n\n

    Cookiecutter template support

    \nInstall the Cookiecutter graphical UI to discover templates, input template options, and create projects and files. For more information, see

    Use the Cookiecutter extension

    .\n\n\n

    Python web support

    \nInstall 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

    .\n\n\n

    Python native development tools

    \nInstall 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.\n\n\n\n

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

    \n

    :::moniker range=\”>=vs-2022\”

    \n

    %ProgramFiles%\\Microsoft Visual Studio\\

    \\

    Common7\\IDE\\Extensions\\Microsoft\\Python

    \n

    where

    is 2022 and

    is Community, Professional, or Enterprise.

    \n

    :::moniker-end\n:::moniker range=\”<=vs-2019\”

    \n

    %ProgramFiles(x86)%\\Microsoft Visual Studio\\

    \\

    Common7\\IDE\\Extensions\\Microsoft\\Python

    \n

    where

    is 2019 or 2017 and

    is Community, Professional, or Enterprise.

    \n

    :::moniker-end

    \n

  • \n

    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.

    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

    How to setup Python for VSCode in 2023 in 5mins! | Install Python and Setup VSCode for Windows 10
    How to setup Python for VSCode in 2023 in 5mins! | Install Python and Setup VSCode for Windows 10

    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.

    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.

    How to set up Python on Visual Studio Code
    How to set up Python on Visual Studio Code

    Visual Studio 2015 and earlier

    Prior to Visual Studio 2017, Python support was released as a standalone extension. We are no longer actively developing these versions, but if you are unable to upgrade to Visual Studio 2017 yet, you can use these older installers to get Python support.

    PTVS 2.2.6 is the latest available version for Visual Studio 2015. You can also find it in the Visual Studio 2015 installer by selecting “Custom” and looking under the “Programming Languages” category.

    PTVS 2.2.2 is the last release for Visual Studio 2013 users.

    Thank you for using and supporting Python Tools for Visual Studio.

    Table of Contents
    Preface 1
    Chapter 1: Introduction to PTVS 7
    Step-by-step installation and configuration 7
    PTVS tools overview 12
    The Python Environments window 13
    Python Interactive 14
    Visual Studio panels with PTVS 14
    Summary 16
    Chapter 2: Python Tools in Visual Studio 17
    Mastering IntelliSense with Python 17
    Using REPL in Visual Studio 21
    Navigating code with ease 24
    Object Browser 28
    Summary 31
    Chapter 3: Day-to-day Coding Tools 33
    Project handling 33
    Solution 33
    Project 34
    Specifying Python environments 37
    Defining Search Paths 41
    Refactoring 42
    Debugging 46
    Using breakpoints 47
    Utilizing watch entries 48
    Summary 49
    Chapter 4: Django in PTVS 51
    Django project template and tools 52
    Installing a Python package 53
    Running the application 55
    IntelliSense in Django templates 57
    Setting up and managing a database for a Django project 58
    Setting up the admin interface 61
    Creating a new Django application 63
    Deploying a Django project on Microsoft Azure 65
    Summary 71
    Chapter 5: Advanced Django in PTVS 73
    Library management 73
    The Fabric library � the deployment and development task manager 75
    South � the database deployment library 79
    Why use South with Django 80
    Installing South 80
    Schema migration with South 83
    Summary 87
    Chapter 6: IPython and IronPython in PTVS 89
    IPython in PTVS 89
    IronPython 95
    Using .NET classes in Python code with IronPython 95
    Using the Python code in .NET with IronPython 100
    Summary 105
    Index 107

    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.

    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.

    Visual Studio 2022 (Python Getting Started)
    Visual Studio 2022 (Python Getting Started)

    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.

    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 Python 3.12.1 in VSCode (2024) - Python in Visual Studio Code
    How to Install Python 3.12.1 in VSCode (2024) – Python in Visual Studio Code

    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.

    Open source

    Fork us on Github

    Python Tools for Visual Studio is a completely free extension, developed and supported by Microsoft with contributions from the community. Visit our Github page to see or participate in PTVS development.

    Python Tools for Visual Studio

    Ann: PTVS is now part of theAzure Machine Learning group!

    An integrated environment for developing Python in Visual Studio by Microsoft

    PTVS is a free/OSS plugin that turns Visual Studio into a Python IDE. PTVS supports CPython, IronPython, editing, browsing, Intellisense, mixed Python/C++ debugging, remote linux/MacOS debugging, profiling, multiple REPL’s, IPython, Django, Flask, Bottle, … and cloud computing with client libraries for Windows, Linux and MacOS.

    Video overview: http://www.youtube.com/watch?v=JNNAOypc6Ek&hd=1

    Project home: http://pytools.codeplex.com

    Python tools for Visual Studio

    Python support for Visual Studio is developed and managed here.

    • Visit our product overview and downloads page, read our documentation and watch our (old) YouTube tutorials.
    • Feel free to file issues or ask questions on our issue tracker, or use the Send Feedback functionality in Visual Studio to report a problem or suggest a feature.
    • We welcome code contributions – see Contributing for information. Documentation contributions may be made at the visualstudio-docs repository.
    • For all other documentation, please see the Wiki
    How to install Python 3.12.0 on Windows 11
    How to install Python 3.12.0 on Windows 11

    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.

    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 Run a Python ( .py ) File in Windows laptop / computer
    How to Run a Python ( .py ) File in Windows laptop / computer

    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.

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    Python Support In Visual Studio On Windows | Microsoft Learn
    Python Support In Visual Studio On Windows | Microsoft Learn
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    Setting Up Vscode For Python: A Complete Guide | Datacamp
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    Visual Studio Python Ide – Python Development Tools For Windows
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    How To Install Python Tools For Visual Studio – Youtube
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    Python Support In Visual Studio On Windows | Microsoft Learn
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    Manage Python Environments And Interpreters – Visual Studio (Windows) | Microsoft Learn
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    Visual Studio 2022 (Python Getting Started) – Youtube
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