Visual Studio Code Python Setup Mac

This no longer works as of VS Code 1.48.2 and Python 3.85. Microsoft advises on the Python plugin install page that Python itself needs to be installed through Homebrew rather than the package installer from the website (as you show in your Python install guide). 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. Using Python3 on Mac OS X With Visual Studio Code - not working. Ask Question Asked 3 years, 9 months ago. Active 2 years, 8 months ago. I have a debugging configuration set up to use the python binary within the virtualenv I have in a separate folder. However, if I run which python in a terminal. Visual Studio Code. The open-source VSCode is a code editor redefined and optimized for building and debugging applications. It is compatible with Windows, Linux and Mac OS X. “The majority of Google developers are using it now,” Chris Capossela, Microsoft’s chief marketing officer, said on the Windows Weekly podcast.:).

Visual studio for mac

After reading this, you will be able to execute python files and jupyter notebooks that execute Apache Spark code in your local environment. This tutorial applies to OS X and Linux systems. We assume you already have knowledge on python and a console environment.

1. Download Apache Spark

Install Python Visual Studio

We will download the latest version currently available at the time of writing this: 3.0.1 from the official website.

Download it and extract it in your computer. The path I'll be using for this tutorial is /Users/myuser/bigdata/spark This folder will contain all the files, like this

Now, I will edit the .bashrc file, located in the home of your user

Then we will update our environment variables so we can execute spark programs and our python environments will be able to locate the spark libraries.

Save the file and load the changes executing $ source ~/.bashrc. If this worked, you will be able to open an spark shell.

We are now done installing Spark.

2. Install Visual Studio Code

One of the good things of this IDE is that allows us to run Jupyter notebooks within itself. Follow the Set-up instructions and then install python and the VSCode Python extension.

Then, open a new terminal and install the pyspark package via pip $ pip install pyspark. Note: depending on your installation, the command changes to pip3.

3. Run your pyspark code

Create a new file or notebook in VS Code and you should be able to execute and get some results using the Pi example provided by the library itself.


If you are in a distribution that by default installs python3 (e.g. Ubuntu 20.04), pyspark will mostly fail with a message error like pysparkenv: 'python': No such file or directory.

The first option to fix it is to add to your .profile or .bashrc files the following content

Remember to always reload the configuration via source .bashrc

In this case, the solution worked if I executed pyspark from the command line but not from VSCode's notebook. Since I am using a distribution based on debian, installing tehe following package fixed it:

sudo apt-get install python-is-python3


Python is a popular programming language that is 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 manners of development, including web applications, web services, desktop apps, scripting, and scientific computing, and is used by many universities, scientists, casual developers, and professional developers alike. You can learn more about the language on 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).

Python is not presently supported in Visual Studio for Mac, but is available on Mac and Linux through Visual Studio Code (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 Create a web app with Flask.
  • 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.


Visual Studio supports Python version 2.7, as well as version 3.5 through 3.7. While it is possible to use Visual Studio to edit code written in other versions of Python, those versions are not officially supported and features such as IntelliSense and debugging might not work. Python version 3.8 support is still under development, specific details about support can be seen in this tracking issue on GitHub.

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.)

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


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:

  • 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

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.

Python Visual Studio Download

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

Questions and answers

Visual Studio For Mac

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.

Visual Studio Code For Mac Os

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


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 support2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Manage multiple interpreters
Auto-detect popular interpreters
Add custom interpreters
Virtual Environments
Pip/Easy Install

Project system2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
New project from existing code
Show all files
Source control
Git integration1

Editing2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Syntax highlighting
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

Interactive window2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Interactive window
IPython with inline graphs

Desktop2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Console/Windows application
IronPython WPF (with XAML designer)
IronPython Windows Forms

Web2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Django web project
Bottle web project
Flask web project
Generic web project

Azure2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Deploy to web site2
Deploy to web role443
Deploy to worker role???443
Run in Azure emulator???443
Remote debugging688
Attach Server Explorer77

Django templates2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Auto-complete for CSS and JavaScript55

Debugging2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Debugging without a project
Debugging - attach to editing
Mixed-mode debugging
Remote debugging (Windows, Mac OS X, Linux)
Debug Interactive window

Profiling2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+

Test2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+
Test explorer
Run test
Debug test

  1. Git support for Visual Studio 2012 is available in the Visual Studio Tools for Git extension, available on the Visual Studio Marketplace.

  2. Deployment to Azure Web Site requires Azure SDK for .NET 2.1 - Visual Studio 2010 SP1. Later versions don't support Visual Studio 2010.

  3. Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2012 or later.

  4. Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2013 or later.

  5. Django template editor in Visual Studio 2013 has some known issues that are resolved by installing Update 2.

  6. Requires Windows 8 or later. Visual Studio 2013 Express for Web doesn't have the Attach to Process dialog, but Azure Web Site remote debugging is still possible using the Attach Debugger (Python) command in Server Explorer. Remote debugging requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

  7. Requires Windows 8 or later. Attach Debugger (Python) command in Server Explorer requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

  8. Requires Windows 8 or later.