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Get Started Tutorial For Python In Visual Studio Code
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With Python installed and your local programming environment set up, open Visual Studio Code. Inside of Visual Studio Code, open the directory you’re working in by going to File- Open and selecting the directory. After that, you’ll see your folder open in the explorer window on the left. With the directory open, you can create your first. We highly recommend installing Python using the standard binary distributions from python.org. These will automatically install Tcl/Tk, which of course, is needed by Tkinter. If you're instead building Python from source code, the Visual Studio projects included in the 'PCbuild' directory can automatically fetch and compile Tcl/Tk on your system.

Note

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

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, run the Visual Studio installer and go to step 2.
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.
The installer presents you with a list of workloads, which are groups of related options for specific development areas. For Python, select the Python development workload and select Install:
To quickly test Python support, launch Visual Studio, press Alt+I to open the Python Interactive window, and enter 2+2. If you don't see the output of 4, recheck your steps.

Next step

Support for multiple interpreters

Visual Studio's Python Environments window (shown below in a wide, expanded view) 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. From that command window you can run any python script.

For more information:

Rich editing, IntelliSense, and code comprehension

Visual Studio provides a first-class Python editor, including syntax coloring, auto-complete 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 Python code that's already saved in a file.

For more information:

Docs: Edit Python code
Docs: Format code
Docs: Refactor code
Docs: Use a linter
General Visual Studio feature docs: Features of the code editor

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 under Support for multiple interpreters.)

Get Started Tutorial For Python In Visual Studio Code

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:

Project system, and project and item templates

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Note

Visual Studio 2019 supports opening a folder containing Python code and running that code without creating Visual Studio project and solution files. For more information, see Quickstart: Open and run Python code in a folder. There are, however, benefits to using a project file, as explained in this section.

Visual Studio helps you manage the complexity of a project as it grows over time. A Visual Studio project is much more than a folder structure: it includes an 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, moreover, helps you manage multiple related projects, such as a Python project and a C++ extension project.

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

For more information:

Docs: Manage Python projects
Docs: Item templates reference
Docs: Python project templates
Docs: Work with C++ and Python
General Visual Studio feature docs: Project and item templates
General Visual Studio feature docs: Solutions and projects in Visual Studio

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, 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:

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Docs: Debug Python
Docs: Python/C++ mixed-mode debugging
Docs: Remote debugging on Linux
General Visual Studio feature docs: Feature tour of the Visual Studio Debugger

Profiling tools with comprehensive reporting

Profiling explores how time is being spent within your application. Visual Studio supports profiling with CPython-based interpreters and includes the ability to compare performance between different profiling runs.

For more information:

Docs: Python profiling tools
General Visual Studio feature docs: Profiling Feature Tour. (Not all Visual Studio profiling features are available for Python).

Unit testing tools

Discover, run, and manage tests in Visual Studio Test Explorer, and easily debug unit tests.

For more information:

Docs: Unit testing tools for Python
General Visual Studio feature docs: Unit test your code.

Azure SDK for Python

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The Azure libraries for Python simplify consuming Azure services from Windows, Mac OS X, and Linux apps. You can use them to create and manage Azure resources, as well as to connect to Azure services.

For more information, see Azure SDK for Python and Azure libraries for Python.

Questions and answers

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

A. Not at this time, but you can up vote the request on Developer Community. The Visual Studio for Mac documentation identifies the current types of development that it does support. In the meantime, 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. At present, Python support in Visual Studio does not include any specific tools for UI development.

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

A. Python is generally an interpreted language, with which code is run on demand in a suitable Python-capable environment such as Visual Studio and web servers. Visual Studio itself does not at present provide the means to create a stand-alone executable, which essentially means a program with an embedded Python interpreter. However, the Python community supplied 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.

Feature support

Python features can be installed in the following editions of Visual Studio as described in the installation guide:

Visual Studio 2017 (all editions)
Visual Studio 2015 (all editions)
Visual Studio 2013 Community Edition
Visual Studio 2013 Express for Web, Update 2 or higher
Visual Studio 2013 Express for Desktop, Update 2 or higher
Visual Studio 2013 (Pro edition or higher)
Visual Studio 2012 (Pro edition or higher)
Visual Studio 2010 SP1 (Pro edition or higher; .NET 4.5 required)

Visual Studio 2015 and earlier are available at visualstudio.microsoft.com/vs/older-downloads/.

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Features are fully supported and maintained for only the latest version of Visual Studio. Features are available in older versions but are not actively maintained.

Python support	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Manage multiple interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Auto-detect popular interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Add custom interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Virtual Environments	✔	✔	✔	✔	✔	✔	✔	✔
Pip/Easy Install	✔	✔	✔	✔	✔	✔	✔	✔

Project system	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
New project from existing code	✔	✔	✔	✔	✔	✔	✔	✔
Show all files	✔	✔	✔	✔	✔	✔	✔	✔
Source control	✔	✔	✔	✔	✔	✔	✔	✔
Git integration	✔	✔	✔	✔	✔	✔	✔¹	✗

Editing	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Syntax highlighting	✔	✔	✔	✔	✔	✔	✔	✔
Auto-complete	✔	✔	✔	✔	✔	✔	✔	✔
Signature help	✔	✔	✔	✔	✔	✔	✔	✔
Quick info	✔	✔	✔	✔	✔	✔	✔	✔
Object browser/class view	✔	✔	✔	✔	✔	✔	✔	✔
Navigation bar	✔	✔	✔	✔	✔	✔	✔	✔
Go to Definition	✔	✔	✔	✔	✔	✔	✔	✔
Navigate to	✔	✔	✔	✔	✔	✔	✔	✔
Find All References	✔	✔	✔	✔	✔	✔	✔	✔
Auto indentation	✔	✔	✔	✔	✔	✔	✔	✔
Code formatting	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - rename	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - extract method	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - add/remove import	✔	✔	✔	✔	✔	✔	✔	✔
PyLint	✔	✔	✔	✔	✔	✔	✔	✔

Interactive window	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Interactive window	✔	✔	✔	✔	✔	✔	✔	✔
IPython with inline graphs	✔	✔	✔	✔	✔	✔	✔	✔

Desktop	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Console/Windows application	✔	✔	✔	✔	✔	✔	✔	✔
IronPython WPF (with XAML designer)	✔	✔	✔	✔	✔	✔	✔	✔
IronPython Windows Forms	✔	✔	✔	✔	✔	✔	✔	✔

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Web	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Django web project	✔	✔	✔	✗	✔	✔	✔	✔
Bottle web project	✔	✔	✔	✗	✔	✔	✔	✔
Flask web project	✔	✔	✔	✗	✔	✔	✔	✔
Generic web project	✔	✔	✔	✗	✔	✔	✔	✔

Azure	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Deploy to web site	✔	✔	✔	✗	✔	✔	✔	✔²
Deploy to web role	✔	✔	✔	✗	✔⁴	✔⁴	✔³	✗
Deploy to worker role	?	?	?	✗	✔⁴	✔⁴	✔³	✗
Run in Azure emulator	?	?	?	✗	✔⁴	✔⁴	✔³	✗
Remote debugging	✔	✔	✔	✗	✔⁶	✔⁸	✔⁸	✗
Attach Server Explorer	✔	✔	✔	✗	✔⁷	✔⁷	✗	✗

Django templates	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Debugging	✔	✔	✔	✗	✔	✔	✔	✔
Auto-complete	✔	✔	✔	✗	✔⁵	✔⁵	✔	✔
Auto-complete for CSS and JavaScript	✔	✔	✔	✗	✔⁵	✔⁵	✗	✗

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Debugging	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Debugging	✔	✔	✔	✔	✔	✔	✔	✔
Debugging without a project	✔	✔	✔	✔	✔	✔	✔	✔
Debugging - attach to editing	✔	✔	✔	✔	✗	✔	✔	✔
Mixed-mode debugging	✔	✔	✔	✔	✔	✔	✔	✗
Remote debugging (Windows, Mac OS X, Linux)	✔	✔	✔	✔	✗	✔	✔	✔
Debug Interactive window	✔	✔	✔	✔	✔	✔	✔	✔