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To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the Python: Create Environment command, and select it. The command presents a list of environment types: Venv or Conda.
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- Overview
- Prerequisites
- The Python Environments window
- Manually identify an existing environment
- Fix or delete invalid environments
- Modify the registry to correct an environment
- Delete or remove a Python environment
- Related content
A Python environment is a context in which you run Python code and includes global, virtual, and conda environments. An environment consists of an interpreter, a library (typically the Python Standard Library), and a set of installed packages. These components together determine valid language constructs and syntax, operating-system functionality that you can access, and packages you can use.
In Visual Studio on Windows, you use the Python Environments window, as described in this article, to manage environments and select one as the default for new projects. Other aspects of environments are found in the following articles:
•For any given project, you can select a specific environment rather than use the default.
•For details on creating and using virtual environments for Python projects, see Use virtual environments.
•If you want to install packages in an environment, refer to the Packages tab reference.
•To install another Python interpreter, see Install Python interpreters. In general, if you download and run an installer for a mainline Python distribution, Visual Studio detects that new installation and the environment appears in the Python Environments window and can be selected for projects.
•A Python workload installed.
If you're new to Python in Visual Studio, see the following articles for general background:
•Work with Python in Visual Studio
•Install Python support in Visual Studio
The environments that Visual Studio knows about are displayed in the Python Environments window. To open the window, use one of the following methods:
•Select View > Other Windows > Python Environments.
•Right-click the Python Environments node for a project in Solution Explorer and select View All Python Environments.
The Python Environments window appears alongside Solution Explorer in Visual Studio:
Visual Studio looks for installed global environments by using the registry (following PEP 514), along with virtual environments and conda environments (see Types of environments). If you don't see an expected environment in the list, see Manually identify an existing environment.
When you select an environment in the list, Visual Studio displays various properties and commands for that environment on the Overview tab of the Python Environments window, such as the interpreter location. The commands at the bottom of the Overview tab each open a command prompt with the interpreter running. For more information, see Python Environments window tab reference - Overview.
Use the following steps to identify an environment installed in a nonstandard location.
1.In the Python Environments window (or from the Python toolbar), select Add Environment to open the Add environment dialog.
2.In the Add environment dialog, on the Existing environment tab, set the Environment field to :
After you select the value, more fields are added to the dialog.
3.Set the Prefix path field to the path of the interpreter. You can set the field by browsing (...) to the path location.
4.After you select the path, the remaining fields are populated. Review the values and modify as needed. When you're ready, select Add.
If Visual Studio finds registry entries for an environment, but the path to the interpreter is invalid, then the Python Environments window shows the environment name in a strikeout font format as shown in the following image:
To correct an environment that you want to keep, first try using the environment installer's Repair process. Most installers include a repair option.
If the Python environment doesn't have a repair option, or you want to remove an invalid environment, you can use the following steps to modify the registry directly. Visual Studio automatically updates thePython Environments window when you make changes to the registry.
1.Run the regedit.exe executable to open the Registry editor.
2.Browse to the environment folder that corresponds to your configuration:
3.Expand the distribution and version node structure for your environment:
4.Inspect the values under the InstallPath node:
•If the environment still exists on your computer, change the value of the ExecutablePath entry to the correct location. Also correct the values for the (Default) and WindowedExecutablePath entries, as necessary.
To remove a Python project, browse to the Python environment in Solution Explorer. Right-click the Python environment that you want to remove, and select Remove.
If you want to keep the Python environment but remove it from your project, select Remove. If you want to delete the environment permanently, select Delete.
Mar 21, 2019 · VS Live Share and VS Live Share Audio comprise the basis of a productive collaboration environment with VSCode. These extensions enable several key collaboration scenarios: Pair programming. Code review. Instructor led learning. It is very common to need to fire up screen sharing software to work through some particular bug as team.
May 2, 2019 · The “Remote – Containers” extension allows Visual Studio Code to work seamlessly in this development environment using the concept of dev containers. A dev container is defined by files in a .devcontainer folder and tells Visual Studio Code how to create a Docker environment for that workspace. You can use a Dockerfile to create a single ...
- 7 min
- Dan Taylor
Apr 18, 2024 · 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.
Sep 4, 2019 · Once we set up the virtual environment, we can install the missing components that VS Code detects (e.g., pytest) if the VS Code bumps up the suggestion window. (To learn more about Python virtual ...
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Create the project. The following steps create an empty project that serves as a container for the application. Open Visual Studio. On the start screen, select Create a new project. In the Create a new project dialog, enter Python web in the search box. In the results list, select Web Project, and then select Next.
