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Python With Visual Studio 2019 | Support For Multiple Interpreters

Python Desktop Application in Visual Studio 2019 | IronPython Getting Started

Step 1: Create a new Python project

A project is how Visual Studio manages all the files that come together to produce a single application. Application files include source code, resources, and configurations. A project formalizes and maintains the relationships among all the project’s files. The project also manages external resources that are shared between multiple projects. A project allows your application to effortlessly expand and grow. Using projects is easier than managing relationships by hand in unplanned folders, scripts, text files, and your memory.

This tutorial begins with a simple project containing a single, empty code file.

  1. In Visual Studio, select File > New > Project to open the New Project dialog. You can also use the keyboard shortcut Ctrl+Shift+N. In the dialog, you can browse templates across different languages, select a template for your project, and specify where Visual Studio places files.

  2. To view Python templates, select Installed > Python on the left menu, or search for “Python.” The search option is a great way to find a template when you can’t remember its location in the languages tree.

    Python support in Visual Studio includes several project templates, including web applications using the Bottle, Flask, and Django frameworks. For the purposes of this walkthrough, however, let’s start with an empty project.

  3. Select the Python Application template, specify a name for the project, and select OK.

  1. In Visual Studio, select File > New > Project or use the keyboard shortcut Ctrl+Shift+N. The Create a new project screen opens, where you can search and browse templates across different languages.

  2. To view Python templates, search for python. Search is a great way to find a template when you can’t remember its location in the languages tree.

    Python web support in Visual Studio includes several project templates, such as web applications in the Bottle, Flask, and Django frameworks. When you install Python with the Visual Studio Installer, select Python Web Support under Optional to install these templates. For this tutorial, start with an empty project.

  3. Select the Python Application template, and select Next.

  4. On the Configure your new project screen, specify a name and file location for the project, and then select Create.

After a few moments, your new project opens in Visual Studio:

Here’s what you see:

  • (1) The Visual Studio Solution Explorer window shows the project structure.
  • (2) The default code file opens in the editor.
  • (3) The Properties window shows more information for the item selected in Solution Explorer, including its exact location on disk.

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.

Python Desktop Application in Visual Studio 2019 | IronPython Getting Started
Python Desktop Application in Visual Studio 2019 | IronPython Getting Started

Configure Python in Visual Studio 2019

We need to enable the Python while installing the Visual Studio 2019. If you already installed Visual Studio, then we can enable it using the Visual Studio installer. Steps are the same to enable Python for those who are installing new or updating the Visual Studio which we have installed already. Open the installer and select the “Python development” as shown below.

Installation details of Python

We can see the installation details of the Python on the right-hand side in the installer after selecting the Python development. We can find how much MB of memory have been taken for installing Python.

Click the modify to enable Python in Visual Studio 2019. If you are installing new, we can find the installation button in the bottom instead of the Modify button. Once clicked, the Modify installation will be started.

Features in Visual Studio for Python

  1. Editing is very easy and user-friendly. We can easily edit the Python code with the help of Tooltip, completion and code snippets.
  2. We can install the libraries without trouble. Using search options, find the libraries and install whatever we need for our Python applications.
  3. Debugging is very helpful to find the complex issues. Python in visual studio support debugging without project.
  4. We can use effective source controller Git and TFS. We can use Git and TFS without a command line.
  5. Unit testing is validating your changes in the editor. We can verify the code is working correctly without leaving the visual studio. We can view, edit, and debug the unit test from the test window.
  6. Python tool for Visual Studio is a free extension, develop and support by Microsoft with contribution from the community.
Python 3 with Visual Studio 2019 - Part 01 - setup environment
Python 3 with Visual Studio 2019 – Part 01 – setup environment

Full-featured debugging

One of Visual Studio’s strengths is its powerful debugger. For Python in particular, Visual Studio includes Python/C++ mixed-mode debugging, remote debugging on Linux, debugging within the Interactive window, and debugging Python unit tests.

In Visual Studio 2019 and later, you can run and debug code without having a Visual Studio project file. See Quickstart: Open and run Python code in a folder for an example.

For more information:

  • Debug Python
  • Python/C++ mixed-mode debugging
  • Remote debugging on Linux
  • Feature tour of the Visual Studio Debugger

Switch the current project environment

In Visual Studio, you can change the active (current) environment for a Python project in Solution Explorer or from the toolbar by using the Add Environment feature.

  1. Start the Add Environment process:

    • In Solution Explorer, right-click the Python Environments node for your project and select Add Environment.
    • Or, on the Python toolbar, select Add Environment from the Environment dropdown menu.
  2. In the Add Environment dialog, select the Existing environment tab. Expand the Environment dropdown list and choose your desired environment, then select Add.

Note

If the environment you want to use isn’t listed, you might need to manually identify an existing environment.

Visual Studio 2019 Launch: Python development with Visual Studio
Visual Studio 2019 Launch: Python development with Visual Studio

Considerations about package installation

When you work with packages in Visual Studio, keep in mind the following considerations:

  • Keep in mind that the displayed entries for packages might not be accurate in terms of the most current version or availability. The installation and uninstallation information shown for a package might not be reliable or available.

  • Visual Studio uses the pip package manager if available, and downloads and installs it when required. Visual Studio can also use the easy_install package manager. Packages installed by using the


    pip

    or

    easy_install

    commands from the command line are also displayed.

  • A common situation where pip fails to install a package is when the package includes source code for native components in *.pyd files. Without the required version of Visual Studio installed, pip can’t compile these components. The error message displayed in this situation is error: Unable to find vcvarsall.bat. The


    easy_install

    command is often able to download precompiled binaries, and you can download a suitable compiler for older versions of Python from https://python.en.uptodown.com/windows/versions. For more information, see How to deal with the pain of “unable to find vcvarsallbat” on the Python tools team blog.

  • The conda package manager generally uses


    https://repo.continuum.io/pkgs/

    as the default channel, but other channels are available. For more information, see Manage Channels (docs.conda.io).

  • Visual Studio doesn’t currently support using the


    conda

    command to install packages into a conda environment. Use the

    conda

    command from the command line instead.

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.

Python Web Application in Visual Studio 2019 | Getting Started
Python Web Application in Visual Studio 2019 | 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.

Review Python interpreters

The following table lists Python interpreters that can be used with Visual Studio.

Interpreter Description Notes
CPython The “native” and most commonly used interpreter, available in 32-bit and 64-bit versions (32-bit recommended). Includes the latest language features, maximum Python package compatibility, full debugging support, and interop with IPython. Review the considerations in Should I use Python 2 or Python 3? to help determine which version of Python to install. Visual Studio 2015 and earlier don’t support Python 3.6 or later, and can return errors like Unsupported python version 3.6. For Visual Studio 2015 and earlier, use Python 3.5 or earlier.
IronPython A .NET implementation of Python, available in 32-bit and 64-bit versions. Provides C#/F#/Visual Basic interop, access to .NET APIs, standard Python debugging (but not C++ mixed-mode debugging), and mixed IronPython/C# debugging. IronPython doesn’t support virtual environments.
Anaconda An open data science platform powered by Python. Includes the latest version of CPython and most of the difficult-to-install packages. If you’re unable to decide on an interpreter, we recommend using Anaconda.
PyPy A high-performance tracing JIT implementation of Python. Good for long-running programs and situations where you identify performance issues but can’t find other resolutions. Works with Visual Studio but with limited support for advanced debugging features.
Jython An implementation of Python on the Java Virtual Machine (JVM). Similar to IronPython, code running in Jython can interact with Java classes and libraries. However, many of the libraries intended for CPython might not be accessible. Works with Visual Studio but with limited support for advanced debugging features.
Microsoft visual Studio 2019 || Python with Visual studio || Visual Studio installation
Microsoft visual Studio 2019 || Python with Visual studio || Visual Studio installation

Tutorial: Work with Python in Visual Studio

In this tutorial, you learn how to work with Python in Visual Studio. Python is a popular programming language that’s reliable, flexible, easy to learn, and free to use on all operating systems. Python is supported by a strong developer community and many free libraries. The language supports all kinds of development, including web applications, web services, desktop apps, scripting, and scientific computing. Many universities, scientists, casual developers, and professional developers use Python. Visual Studio provides first-class language support for Python.

This tutorial guides you through a six-step process:

  • Step 1: Create a Python project (this article)
  • Step 2: Write and run code to see Visual Studio IntelliSense at work
  • Step 3: Create more code in the Interactive REPL window
  • Step 4: Run the completed program in the Visual Studio debugger
  • Step 5: Install packages and manage Python environments
  • Step 6: Work with Git

This article covers the tasks in Step 1. You create a new project and review the UI elements visible in Solution Explorer.

View and manage installed packages

In Solution Explorer, you can view and manage the packages installed in an environment. These packages can be imported and used in your code when the environment is active.

  • To quickly view the packages installed in an environment, expand the environment node under the Python Environments node for your project in Solution Explorer:

  • To install new packages or manage existing packages, right-click the environment node and select Manage Python Packages. You can also use the package button on the Python toolbar:

    The Python Environments window opens and shows the installed packages for the selected environment on the Packages (PyPI) tab:

    In Visual Studio, packages and dependencies for most environments are downloaded from the Python Package Index (PyPI), where you can also search for available packages. Visual Studio’s status bar and output window show information about the install.

  • To uninstall (remove) a package, locate the package in the list and select the x icon at the right.

  • To look for updated versions of a package or other packages, enter a search term (usually a package name):

    Visual Studio displays matching packages. In this example, the search is for packages that match the term blinker.

    Visual Studio displays a list of matching results as active command links.

    • The first command refreshes the package to the most current version and current dependencies. The command is similar to


      Run command: pip install

      . If you select Enter after your search term, Visual Studio automatically runs this first command.

    • The other links are for commands that install a specific package, version, or dependency, such as


      Install blinker-async (0.0.3)

      . To run one of these commands, select the link.

Python Winforms Application in Visual Studio 2019 | IronPython Getting Started
Python Winforms Application in Visual Studio 2019 | IronPython Getting Started

Interactive window

For every Python environment known to Visual Studio, you can easily open the same interactive (REPL) environment for a Python interpreter directly within Visual Studio, rather than using a separate command prompt. You can easily switch between environments as well. To open a separate command prompt, select your desired environment in the Python Environments window, then select the Open in PowerShell command as explained earlier in the Support for multiple interpreters section.

Visual Studio also provides tight integration between the Python code editor and the Interactive window. The Ctrl+Enter keyboard shortcut conveniently sends the current line of code (or code block) in the editor to the Interactive window, then moves to the next line (or block). Ctrl+Enter lets you easily step through code without having to run the debugger. You can also send selected code to the Interactive window with the same keystroke, and easily paste code from the Interactive window into the editor. Together, these capabilities allow you to work out details for a segment of code in the Interactive window and easily save the results in a file in the editor.

Visual Studio also supports IPython/Jupyter in the REPL, including inline plots, .NET, and Windows Presentation Foundation (WPF).

For more information:

Interactive window

For every Python environment known to Visual Studio, you can easily open the same interactive (REPL) environment for a Python interpreter directly within Visual Studio, rather than using a separate command prompt. You can easily switch between environments as well. To open a separate command prompt, select your desired environment in the Python Environments window, then select the Open in PowerShell command as explained earlier in the Support for multiple interpreters section.

Visual Studio also provides tight integration between the Python code editor and the Interactive window. The Ctrl+Enter keyboard shortcut conveniently sends the current line of code (or code block) in the editor to the Interactive window, then moves to the next line (or block). Ctrl+Enter lets you easily step through code without having to run the debugger. You can also send selected code to the Interactive window with the same keystroke, and easily paste code from the Interactive window into the editor. Together, these capabilities allow you to work out details for a segment of code in the Interactive window and easily save the results in a file in the editor.

Visual Studio also supports IPython/Jupyter in the REPL, including inline plots, .NET, and Windows Presentation Foundation (WPF).

For more information:

Machine Learning w/ Python in Visual Studio 2019 (Getting Started)
Machine Learning w/ Python in Visual Studio 2019 (Getting Started)

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Install Python interpreters

There are several options for installing Python interpreters to work with Visual Studio. You can install an interpreter when you install the Python workload, or you can install an interpreter after a workload is present. Interpreters can also be installed manually outside of the Visual Studio Installer.

When you install the Python development workload in Visual Studio 2017 and later, Python 3 (64-bit) also installs by default. As an option, you can choose to install the 32-bit or 64-bit version of Python 2 or Python 3, along with Miniconda (Visual Studio 2019) or Anaconda 2/Anaconda 3 (Visual Studio 2017). The steps for this type of installation are described in Install Python support in Visual Studio.

An alternate approach is to install standard Python interpreters by using the Add Environment feature in Visual Studio. This option is available in the Python Environments window and the Python toolbar.

Python interpreters can also be installed manually outside of the Visual Studio Installer. Suppose you install Anaconda 3 before you install Visual Studio. You don’t need to reinstall Anaconda through the Visual Studio Installer. You can also install a newer version of an interpreter if it isn’t yet listed in the Visual Studio Installer.

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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.

Python Full Course for Beginners | Complete All-in-One Tutorial | 9 Hours
Python Full Course for Beginners | Complete All-in-One Tutorial | 9 Hours

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Select a Python environment for a project in Visual Studio

All code in a Python project runs within the context of a specific environment. These environments can be a global Python environment, an Anaconda environment, a virtual environment, or a conda environment. Visual Studio uses the Python environment for debugging, import and member completions, and syntax checking. The environment is used for any tasks that require language services that are specific to the Python version and a set of installed packages.

In Visual Studio, you can create multiple environments for a project and switch between them according to your specific development needs. All new Python projects are initially configured to use the default global environment. You can see the environments for your project under the Python Environments node in Solution Explorer:

Move an interpreter

If you move an existing interpreter to a new location by using the file system, Visual Studio doesn’t automatically detect the change.

  • If you originally specified the location of the interpreter through the Python Environments window, you can edit its environment by using the Configure tab in that window to identify the new location. For more information, see Manually identify an existing environment.

  • If you installed the interpreter by using an installer program, use the following steps to reinstall the interpreter in the new location:

    1. Restore the Python interpreter to its original location.
    2. Uninstall the interpreter by using its installer, which clears the registry entries.
    3. Reinstall the interpreter at the new location.
    4. Restart Visual Studio, which should autodetect the new location in place of the old location.

This process ensures that the registry entries that identify the interpreter’s location, which Visual Studio uses, are properly updated. Using an installer also handles any other side effects that might exist.

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

Questions and answers

Q. Is Python support available with Visual Studio for Mac?

A. Visual Studio for Mac isn’t currently supported. For more information, see What’s happening to Visual Studio for Mac? Visual Studio Code on Windows, Mac, and Linux works well with Python through available extensions.

Q. What can I use to build UI with Python?

A. The main offering in this area is the Qt Project with bindings for Python known as PySide (the official binding) (also see PySide downloads) and PyQt. Python support in Visual Studio doesn’t include any specific tools for UI development.

Q. Can a Python project produce a stand-alone executable?

A. Python is generally an interpreted language, where code is run on demand in a suitable Python-capable environment such as Visual Studio and web servers. Visual Studio doesn’t currently provide the means to create a stand-alone executable, which essentially means a program with an embedded Python interpreter. However, the Python community offers different means to create executables as described on StackOverflow. CPython also supports being embedded within a native application, as described on the blog post, Using CPython’s embeddable zip file.

Python Project Template

Open Visual Studio, click the new project and type the Python in the search bar in Visual Studio 2019. We can see all Python-related templates, as shown below.

We have more than five templates available. In the Python application; it is used to create the command line project. Python Web Project, it is used to creating a generic Python web project. Django Web Project, it is one of the frameworks. A project for creating an application using the Django web framework. We have Django, Flask, and Bottle web framework for Python. It features sample pages that use the Twitter Bootstrap framework for responsive web design.

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)

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.

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Python support in Visual Studio on Windows

Python is a popular programming language that’s reliable, flexible, easy to learn, free to use on all operating systems, and supported by both a strong developer community and many free libraries. Python supports all manner of development, including web applications, web services, desktop apps, scripting, and scientific computing. Scientists, casual developers, professional developers, and many universities alike use Python for programming. You can learn more about the language on python.org and Python for Beginners.

Visual Studio is a powerful Python IDE on Windows. Visual Studio provides open-source support for the Python language through the Python Development and Data Science workloads (Visual Studio 2017 and later) and the free Python Tools for Visual Studio extension (Visual Studio 2015 and earlier). Tour the Visual Studio IDE to familiarize yourself with the IDE features for writing and editing Python code.

Visual Studio Code is available on Mac and Linux. For more information, see questions and answers.

To get started:

  • Follow the installation instructions to set up the Python workload.

  • Familiarize yourself with the Python capabilities of Visual Studio through the sections in this article.

  • Go through one or more of the Quickstarts to create a project. If you’re unsure, start with Quickstart: Open and run Python code in a folder or Create a web app with Flask.

  • Follow the Work with Python in Visual Studio tutorial for a full end-to-end experience.

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

Prerequisites

  • Visual Studio supports Python version 3.7. While it’s possible to use an earlier version of Visual Studio to edit code written in earlier versions of Python, those versions of Python aren’t officially supported. Visual Studio features such as IntelliSense and debugging might not work with earlier versions of Python.

  • For Visual Studio 2015 and earlier, use Python 3.5 or earlier. You must manually install one of the Python interpreters.

Anaconda distributions

Although Visual Studio offers to install the Anaconda distribution, your use of the distribution and other packages from Anaconda Repository are bound by the Anaconda Terms of Service. These terms might require some organizations to pay Anaconda for a commercial license, or else configure the tools to access an alternate repository. For more information, see the Conda channels documentation.

Full-featured debugging

One of Visual Studio’s strengths is its powerful debugger. For Python in particular, Visual Studio includes Python/C++ mixed-mode debugging, remote debugging on Linux, debugging within the Interactive window, and debugging Python unit tests.

In Visual Studio 2019 and later, you can run and debug code without having a Visual Studio project file. See Quickstart: Open and run Python code in a folder for an example.

For more information:

  • Debug Python
  • Python/C++ mixed-mode debugging
  • Remote debugging on Linux
  • Feature tour of the Visual Studio Debugger
Best Python IDE: Vim, Emacs, PyCharm, or Visual Studio Code? | Guido van Rossum and Lex Fridman
Best Python IDE: Vim, Emacs, PyCharm, or Visual Studio Code? | Guido van Rossum and Lex Fridman

Review elements in Solution Explorer

Take some time to familiarize yourself with Solution Explorer, where you can browse files and folders in your project.

  • (1) At the top level is the solution, which by default has the same name as your project. A solution, which is shown as an .sln file on disk, is a container for one or more related projects. For example, if you write a C++ extension for your Python application, that C++ project can be in the same solution. The solution might also contain a project for a web service, and projects for dedicated test programs.

  • (2) Your project is highlighted in bold and uses the name you entered in the Create a new project dialog. On disk, this project is represented by a .pyproj file in your project folder.

  • (3) Under your project you see source files. In this example, you have only a single .py file. Selecting a file displays its properties in the Properties window. If you don’t see the Properties window, select the wrench icon in the Solution Explorer banner. Double-clicking a file opens it in whatever way is appropriate for that file.

  • (4) Also under the project is the Python Environments node. Expand the node to show the available Python interpreters.

  • (5) Expand an interpreter node to see the libraries installed in that environment.

Right-click any node or item in Solution Explorer to show a context menu of applicable commands. For example, Rename lets you change the name of a node or item, including the project and the solution.

Support for multiple interpreters

Visual Studio’s Python Environments window gives you a single place to manage all of your global Python environments, conda environments, and virtual environments. Visual Studio automatically detects installations of Python in standard locations, and allows you to configure custom installations. With each environment, you can easily manage packages, open an interactive window for that environment, and access environment folders.

Use the Open interactive window command to run Python interactively within the context of Visual Studio. Use the Open in PowerShell command to open a separate command window in the folder of the selected environment. In that command window, you can run any python script.

For more information:

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

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.

Activate an environment

Follow these steps to activate an existing environment for a project:

  1. In Solution Explorer, expand the Python Environments node for your project, and locate the environment you want to use.

  2. Right-click the environment, and select Activate Environment.

    If Visual Studio detects a requirements.txt file in that environment, it asks whether to install those packages.

    After Visual Studio activates the environment, the name of the active environment is shown in a bold font in Solution Explorer:

How to Run Python in Visual Studio Code on Windows 10 2022 Best IDE
How to Run Python in Visual Studio Code on Windows 10 2022 Best IDE

Conclusion

I hope this article helps with ideas on how to set up and choose the template to develop an application using Python in Visual Studio 2019. The next part of this article explains how to develop the first Python with a simple program. This is really helpful for new learners.

Python support in Visual Studio on Windows

Python is a popular programming language that’s reliable, flexible, easy to learn, free to use on all operating systems, and supported by both a strong developer community and many free libraries. Python supports all manner of development, including web applications, web services, desktop apps, scripting, and scientific computing. Scientists, casual developers, professional developers, and many universities alike use Python for programming. You can learn more about the language on python.org and Python for Beginners.

Visual Studio is a powerful Python IDE on Windows. Visual Studio provides open-source support for the Python language through the Python Development and Data Science workloads (Visual Studio 2017 and later) and the free Python Tools for Visual Studio extension (Visual Studio 2015 and earlier). Tour the Visual Studio IDE to familiarize yourself with the IDE features for writing and editing Python code.

Visual Studio Code is available on Mac and Linux. For more information, see questions and answers.

To get started:

  • Follow the installation instructions to set up the Python workload.

  • Familiarize yourself with the Python capabilities of Visual Studio through the sections in this article.

  • Go through one or more of the Quickstarts to create a project. If you’re unsure, start with Quickstart: Open and run Python code in a folder or Create a web app with Flask.

  • Follow the Work with Python in Visual Studio tutorial for a full end-to-end experience.

Remove a virtual environment

Follow these steps to remove an existing environment for a project:

  1. In Solution Explorer, right-click the virtual environment and select Remove.

  2. Visual Studio asks whether you want to remove or delete the virtual environment.

    • Select Remove to make the environment unavailable to the project but leave it on the file system.
    • Select Delete to both remove the environment from the project and delete it from the file system. The base interpreter is unaffected.
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

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.

Creating a Python Project

We can develop web applications using Python with above one of the frameworks. Open Visual Studio 2019 and select “Create new project”.

Select the language dropdown as “Python”. We can see all the project templates of the project for Python.

We can see the template with a different framework. We can choose and develop any one of the templates a can develop the application based on our requirement.

Lập trình python trên visual studio code
Lập trình python trên visual studio code

Support for multiple interpreters

Visual Studio’s Python Environments window gives you a single place to manage all of your global Python environments, conda environments, and virtual environments. Visual Studio automatically detects installations of Python in standard locations, and allows you to configure custom installations. With each environment, you can easily manage packages, open an interactive window for that environment, and access environment folders.

Use the Open interactive window command to run Python interactively within the context of Visual Studio. Use the Open in PowerShell command to open a separate command window in the folder of the selected environment. In that command window, you can run any python script.

For more information:

Create a virtual environment

You can create a new virtual environment directly in Visual Studio as follows:

  1. Start the Add Environment process:

    • In Solution Explorer, right-click the Python Environments node for your project and select Add Environment.
    • Or, on the Python toolbar, select Add Environment from the Environment dropdown menu.
  2. In the Add Environment dialog, select the Virtual environment tab:

  3. Configure the required fields:

    Required field Description Project Identify the project in which to create the environment. Name Provide the name for the new virtual environment. Base interpreter Specify the base language interpreter for the virtual environment. Location The system assigns the default location for the virtual environment. To change the location, select the Change virtual environment location link, browse to the location and choose Select folder.
  4. Configure any desired optional fields:

    Optional field Description Install packages from file Specify the path to a requirements.txt file to add packages to the virtual environment. Enter the location and name of the file or browse (…) to the location and select the file. Set as current environment Activate the new environment in the selected project after the environment is created. Set as default environment for new projects Automatically set and activate the environment in any new projects created in Visual Studio. This setting is also available via the Make this the default environment for new projects option in the Python Environments window. When you use this option, place the virtual environment in a location outside of a specific project. View in Python Environments window Specify whether to show the Python Environments window after you create the new environment. Make this environment available globally Specify whether the virtual environment should also act as a global environment. When you use this option, place the virtual environment in a location outside of a specific project.
  5. Select Create to finalize the virtual environment.

Visual Studio displays a progress bar while it configures the environment and downloads any necessary packages.

After the process completes, Visual Studio activates the new virtual environment and adds it to the Python Environments node in Solution Explorer. The environment is also available in the Python Environments window for the containing project.

Learn Visual Studio 2022 in 45 minutes | Amit Thinks
Learn Visual Studio 2022 in 45 minutes | Amit Thinks

Project system, and project and item templates

Visual Studio helps you manage the complexity of a project as it grows over time. A Visual Studio project is more than a folder structure. A project aids in the understanding of how different files are used and how they relate to each other. Visual Studio helps you distinguish app code, test code, web pages, JavaScript, build scripts, and so on, which then enable file-appropriate features. A Visual Studio solution helps you manage multiple related projects, such as a Python project and a C++ extension project.

Note

In Visual Studio 2019 and later, you can open a folder containing Python code and run that code without creating a Visual Studio project or solution file. For more information, see Quickstart: Open and run Python code in a folder. Keep in mind that there are benefits to using a project file, as explained in this section.

The following image shows an example of a Visual Studio solution containing both Python and Flask projects in Solution Explorer.

Project and item templates automate the process of setting up different types of projects and files. The templates save you valuable time and relieve you from managing intricate and error-prone details. Visual Studio provides templates for web, Azure, data science, console, and other types of projects. You can find templates for files like Python classes, unit tests, Azure web configuration, HTML, and even Django apps.

For more information:

  • Manage Python projects
  • Item templates reference
  • Python project templates
  • Work with C++ and Python
  • Create project and item templates
  • Solutions and projects in Visual Studio

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.

Lập Trình Python Trên Visual Studio 2019
Lập Trình Python Trên Visual Studio 2019

Use virtual environments

A virtual environment is a unique combination of a specific Python interpreter and a specific set of libraries that’s different from other global and conda environments. A virtual environment is specific to a project and is maintained in a project subfolder. The folder contains the environment’s installed libraries along with a pyvenv.cfg file that specifies the path to the environment’s base interpreter on the file system. (A virtual environment doesn’t contain a copy of the interpreter, only a link to it.)

One benefit to using a virtual environment is that as you develop your project over time, the virtual environment always reflects the exact dependencies of your project. This behavior is different from a shared global environment, which contains any number of libraries whether you use them in your project or not. From a virtual environment, you can easily create a requirements.txt file, which is used to reinstall package dependencies on other development or production computers. For more information, see Manage required packages with requirements.txt.

When you open a project in Visual Studio that contains a requirements.txt file, Visual Studio automatically gives you the option to recreate the virtual environment. On computers where Visual Studio isn’t installed, you can use the

pip install -r requirements.txt

command to restore the necessary packages.

Because a virtual environment contains a hard-coded path to the base Python interpreter, and you can recreate the environment by using the requirements.txt file, you typically omit the environment subfolder from source control. After you add a virtual environment to your project, it appears in the Python Environments window. You can then activate it like any other environment and manage its packages.

Python Frameworks

There are following famous frameworks are available. If we are learning following Python frameworks we have good opportunities.

Django

A Python-based free and open-source web framework. It is the model –template –view(MTV) architectural pattern. It is the main primary goal is to ease the creation of complex website.

Pyramid

Python web application framework. It is designed to make creating web applications easier. It is an open-source. It is designed to easy to use.

TurboGears

This is a Python web application framework. It is designed around the model, view and controller architecture. It is designed to make rapid web application development in Python easier and more maintainable.

Web2py

The open-source web application framework is written in the Python programming language. web2py focuses on rapid development, favors convention over configuration approach and follows a model–view–controller (MVC) architectural pattern.

Flask

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries

CherryPy

CherryPy is an object-oriented web application framework using the Python programming language. It is designed for rapid development of web applications

Falcon

A light-weight micro-framework written in Python for building web APIs and app backbends. It is like Falcon. It has a clean design that embraces HTTP and the REST architectural style.

Python 2-dars. Kerakli dasturlar
Python 2-dars. Kerakli dasturlar

Rich editing, IntelliSense, and code comprehension

Visual Studio provides a first-class Python editor, including syntax coloring, autocomplete across all your code and libraries, code formatting, signature help, refactoring, linting, and type hints. Visual Studio also provides unique features like class view, Go to Definition, Find All References, and code snippets. Direct integration with the Interactive window helps you quickly develop existing Python code in a file.

For more information:

Questions and answers

Q. Is Python support available with Visual Studio for Mac?

A. Visual Studio for Mac isn’t currently supported. For more information, see What’s happening to Visual Studio for Mac? Visual Studio Code on Windows, Mac, and Linux works well with Python through available extensions.

Q. What can I use to build UI with Python?

A. The main offering in this area is the Qt Project with bindings for Python known as PySide (the official binding) (also see PySide downloads) and PyQt. Python support in Visual Studio doesn’t include any specific tools for UI development.

Q. Can a Python project produce a stand-alone executable?

A. Python is generally an interpreted language, where code is run on demand in a suitable Python-capable environment such as Visual Studio and web servers. Visual Studio doesn’t currently provide the means to create a stand-alone executable, which essentially means a program with an embedded Python interpreter. However, the Python community offers different means to create executables as described on StackOverflow. CPython also supports being embedded within a native application, as described on the blog post, Using CPython’s embeddable zip file.

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

Prerequisites

  • Visual Studio. To install the product, follow the steps in Install Visual Studio.

  • You can only switch between existing environments. If you don’t have an environment other than the default global environment, see the following sections about working with virtual environments. For more information, see Create and manage Python environments in Visual Studio.

Detect your environment

Visual Studio shows all known environments in the Python Environments window. It automatically detects updates to existing interpreters.

If Visual Studio doesn’t detect an installed environment, see Manually identify an existing environment.

If you want to provide new forms of detection for Python environments, see PTVS Environment Detection (github.com).

Registry entries

Visual Studio (all versions) automatically detects each installed Python interpreter and its environment by checking the registry according to PEP 514 – Python registration in the Windows registry. Python installations are typically found under the HKEY_LOCAL_MACHINE\SOFTWARE\Python (32-bit) and HKEY_LOCAL_MACHINE\SOFTWARE\WOW6432Node\Python (64-bit) key within nodes for the distribution, such as PythonCore (CPython) and ContinuumAnalytics (Anaconda).

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

Rich editing, IntelliSense, and code comprehension

Visual Studio provides a first-class Python editor, including syntax coloring, autocomplete across all your code and libraries, code formatting, signature help, refactoring, linting, and type hints. Visual Studio also provides unique features like class view, Go to Definition, Find All References, and code snippets. Direct integration with the Interactive window helps you quickly develop existing Python code in a file.

For more information:

Project system, and project and item templates

Visual Studio helps you manage the complexity of a project as it grows over time. A Visual Studio project is more than a folder structure. A project aids in the understanding of how different files are used and how they relate to each other. Visual Studio helps you distinguish app code, test code, web pages, JavaScript, build scripts, and so on, which then enable file-appropriate features. A Visual Studio solution helps you manage multiple related projects, such as a Python project and a C++ extension project.

Note

In Visual Studio 2019 and later, you can open a folder containing Python code and run that code without creating a Visual Studio project or solution file. For more information, see Quickstart: Open and run Python code in a folder. Keep in mind that there are benefits to using a project file, as explained in this section.

The following image shows an example of a Visual Studio solution containing both Python and Flask projects in Solution Explorer.

Project and item templates automate the process of setting up different types of projects and files. The templates save you valuable time and relieve you from managing intricate and error-prone details. Visual Studio provides templates for web, Azure, data science, console, and other types of projects. You can find templates for files like Python classes, unit tests, Azure web configuration, HTML, and even Django apps.

For more information:

  • Manage Python projects
  • Item templates reference
  • Python project templates
  • Work with C++ and Python
  • Create project and item templates
  • Solutions and projects in Visual Studio
Visual Studio 2019 and Python
Visual Studio 2019 and Python

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