Use Virtualenv with Python with Visual Studio Code in Ubuntu

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I have a Python project and navigation/autocomplete work perfectly within files in the project. I want to specify a virtualenv so that navigation/autocomplete work with packages inside that virtualenv.

I tried this in settings.py but navigation/autocomplete does not work. Also by setting "python.pythonPath":"~/dev/venvs/proj/bin/python killed the original navigation/autocomplete.

{
    "editor.rulers": [80,100],
    "python.autoComplete.extraPaths": [
        "~/dev/venvs/proj",
        "~/dev/venvs/proj/lib"
     ]
}

With the latest update to the extension all you need to do is just specify the "python.pythonPath" as follows. The values for "python.autoComplete.extraPaths" will be determined during runtime, but you are still free to specify custom paths in there.

Please, remember to re-start VS Code once the necessary changes have been made.

{
    "editor.rulers": [80,100],
    "python.pythonPath":"~/dev/venvs/proj/bin/python"
}

Using a Python VirtualEnv environment with VSCode, I'm running in Windows, and you can find the instruction at https://code.visualstudio.com/docs/python/environments Basically do this "To select a specific environment, use the Python: Select Interpreter command from the Command Palette (Ctrl+Shift+P)." Then type in Python: S and click select interpreter, then choose Set virtualenv for file in Visual Studio Code python. I'm playing with Visual Studio Code on Ubuntu. One big problem is I can't figure out how to attach a virtualenv to a file. So, I open the file. On the lower left corner, I see the default path to the system python executable:

Use Virtualenv with Python with Visual Studio Code in Ubuntu , I simply set the pythonPath variable in the local .vscode/settings.json to the python that should be used, like so: "python.pythonPath":  Conda environments. A conda environment is a Python environment that's managed using the conda package manager (see Getting started with conda ( conda.io )). Conda works well to create environments with interrelated dependencies as well as binary packages. Unlike virtual environments, which are scoped to a project,

Quite Simple with latest VSCode, if you have installed Official Python extension for VSCode

Shift + Command + P

Type : Python: Select Interpreter

Choose your virtual env.

Official Site

Set virtualenv for file in Visual Studio Code python, How to use Visual Studio Code, VS Code, with Python virtual environments. If you want to Duration: 4:21 Posted: Jun 23, 2019 This blog post is about how to use Visual Studio Code as an editor for Python language on Linux Operating System. Recently I came across VS Code and found it really beneficial. So, I decided why not try my hand on this and progressively share my working knowledge with you people.

With the latest Python extension for visual studio code, there is a venvPath Setting:

// Path to folder with a list of Virtual Environments (e.g. ~/.pyenv, ~/Envs, ~/.virtualenvs).
  "python.venvPath": "",

On Mac OS X, go to Code > Preferences > Settings and scroll down to Python Configuration.

Look for "python.venvPath: "", and click the pencil on the left-hand side to open up your user settings. Finally, add the path to where you store your virtual environments.

If you are using virtuanenvwrapper, or you have put all your virtual env setting in one folder, this will be the one for you.

After you have configured "python.venvPath", restart VSC. Then open the command palette and look for "Python: Select Interpreter". At this point, you should see the interpreter associated with the virtual environment you just added.

Using Python virtual environments from Visual Studio Code, I'm using VS Code on Linux (Mint 17.3) for Python development. sudo pip install virtualenv cd dev/Workspace virtualenv -p /usr/bin/python3  Using a Python VirtualEnv environment with VSCode. In Visual Studio Code Python Extension’s October 2018 Release, the team added automatic detection of new virtual environments in the root of your project directory while Code is still running without having to restart it. Click the notes above to see how this works.

Another way is to open the VSC from a terminal with the virtualenv set and need to perform F1 Python: Select Interpreter and select required virtualENV

Python Dev environment with Visual Studio Code on Linux, Cover image for Setting up Python workspace in Visual Studio Code for ubuntu $ source <virtual-env-folder-path>/bin/activate $ source  I am trying to install virtualenv for Python 3 on Ubuntu 64bit 14.04. I have installed pip for Python3 using: pip3 install virtualenv and everything works fine. Now

Setting up Python workspace in Visual Studio Code (vscode), We use venv as environment manager for Python projects and sometimes it feels like VS Code really doesn't do what we expect of it. How to use Visual Studio Code, VS Code, with Python virtual environments. If you want to follow on Linux or macOS, use: python3 -m venv your_env_path.

Changing Virtual Environments in Visual Studio Code (Python , When you say "open directory (with venv) in Vs Code", do you mean you created a sub-directory with a venv? What command did you use to  Use Django in Visual Studio Code; Use Flask in Visual Studio Code; There is then much more to explore with Python in Visual Studio Code: Editing code - Learn about autocomplete, IntelliSense, formatting, and refactoring for Python. Linting - Enable, configure, and apply a variety of Python linters. Debugging - Learn to debug Python both locally and remotely.

Vs Code Python not finding venv environments · Issue #2470 , In this tutorial, you'll learn how to use Visual Studio Code for Python development​. Screenshots and demos for Ubuntu and Windows are provided. VS Code understands, and will use, any virtualenv, pipenv, or conda environments it sees​  Edit and debug Python in WSL with Visual Studio Code This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use.

Comments
  • a shebang like this also works, if you don't want to mess with settings: #!bin/python3
  • youtu.be/6YLMWU-5H9o?t=550 here Dan Taylor explains how to run virtualenv in vscode
  • FWIW I had to use an absolute path at least for pylint
  • Do you mean in the workspace settings ? Is there any way to setup the preference just for a subtree of my workspace ?
  • Can you do this per project?
  • Don above is right. Please just double check the web-site of VS Code: code.visualstudio.com/docs/python/…
  • @holms yup, you want to edit the Workspace Settings (.vscode/settings.json)
  • sad thing, it doesn't allow me to add a new interpreter to the list... is that even possible?
  • @genuinefafa I don't know a lot about Code, but in the repo documentation I linked it states that the interpreters are discovered searching in standard paths (/usr/local/bin, /usr/sbin, /sbin), virtual enviroments under the current project and Conda enviroments. Maybe you could add your interpreter to one of this locations so it can pick it up automatically. But I'm just guessing.
  • That's a good idea @DanielF. I solve it but manually setting up the directories pointing to the project environment. The $PATH idea didn't work (actually is what a workon script should do). This was tested a few weeks ago, not sure if the solve it in new releases.
  • To find your virtualenv, python.venvPath needs to be set.
  • As of Dec 2017 with code 1.18.1, the command is Python: Select Interpreter from the command palette. Struggled for a while to search python workspace from the command list ...
  • Unfortunately, this command fails to list local virtual envs.
  • @Antonin I test on my vscode on latest version, it works. Are you in mac or else system, and what's your error?