I have a shared flask web project I am working on with 2 other developers, one of the developers initialized the venv on his pc, uploaded his project structure to github from where I cloned his repo.
Now I when I start vscode and open the project folder, python does not auto detect the venv and asks if it should set is as the interpreter, the only option I have is the default system wide python install, and not the venv python interpreter.
I tried adding it to the list by using the command python:select interpreter and then finding the python.exe inside the venv/scripts folder, but this does not work and vscode still asks for a interpreter.
I also tried manually adding it inside of my workspace settings.json file like so
"python.pythonPath": "C:\\laragon\\www\\Proftaak\\venv\\Scripts\\python.exe"/
But vscode also gives an error on this saying the interpreter is not valid.
How would I fix this?
This is not expected to work as virtual environments are not designed or meant to be movable. They are meant to be created on each machine you need a virtual environment on. As such, I suspect that the virtual environment does not work outside of VS Code which could prevent it from selecting it as a possible working environment.
Related
When I create a new project and the virtual environment using the venv python package, VSCode doesn't recognize the new virtual environment. I follow the bellow instruction:
https://code.visualstudio.com/docs/python/environments
The command that I use in the VSCode integrated terminal is:
python -m venv .venv
The terminal that I use is PowerShell 7, But I tried the CMD terminal too.
After running this command, the .venv folder is created very well on the workspace and I checked its behavior on the terminal.
I tried conda package manager to create a venv and VSCode recognizes it. The problem is only with the venv Python package.
I also tried another Python version to create venv, But the problem still exists.
I read this question:
How can I set up a virtual environment for Python in Visual Studio Code?
I know how to add an environment manually, but I expect VSCode to recognize my environments automatically.
I added these lines to settings.json (Preferences):
"python.venvPath": "~/.venv",
"python.venvFolders": [
"~/.venv/Scripts"
]
I activated the venv manually using VSCode integrated terminal.
The problem still isn't solved.
This is a screenshot of my problem:
I know how to add an environment manually, but I want it to be automatic.
I tried VSCode on another PC, and it worked; It doesn't need anything to do except the presence of venv.
VSCode Version: 1.58.0
Python Extension Version: v2021.6.944021595
The "python.venvPath" should be set to the parent folder of the .venv folder.
Virtual environments located in the folder identified by the
python.venvPath setting (see General settings), which can contain
multiple virtual environments. The extension looks for virtual
environments in the first-level subfolders of venvPath.
But, you need not set that. The Python extension should find the venv environment, as it is just located under your workspace folder.
Virtual environments located directly under the workspace (project)
folder.
I tried it locally, it does not work too. It will only show the cached environment path, and the "python.venvPath" does not work either.
And there are some changes of the interpreter storage:
A VSCode internal storage is introduced which will now store the
interpreter settings in the workspace & workspace folder scope.
You can refer to here for more details.
So, it's recommended to select the environment path manually for now.
After writing this command in VS CodeTerminal
python -m venv env
You can simply use
.\env\Scripts\Activate
In the same directory path where you have created the virtual enviroment.
For some reason VSCode had uninstalled all my Python extensions including the main Python extension. After reinstalling them it was able to detect my virtualenvs again.
So I was having this same issue and I resolved it by,
1. Open Settings in VSCode.
2. Search for "python.terminal.activateEnvironment"
3. If unchecked/unticked, then check/tick for both "User" and "Workspace".
The problem is not with VSCode but the workspace settings in which I was working on.
Just changed that and Voila works like a charm.
when I clone a github repository to my pycharm it says that I don't have any python interpreters for that project, but when I open the terminal (pycharm terminal) and type "python name_of_the_file.py" it runs the program without problems. Do I have to set up a python interpreter for the project or not?
ps: pycharm doesn't give any kind of error when I import some module for that project (bult-in module and not bult-in modules)
You just need to tell PyCharm where your Python interpreter is. Go to File -> Project Structure -> Project and select a Project SDK. I suggest creating a new virtual environment for each project.
Opening the terminal and typing python uses the system's PATH variable to find the executable. PyCharm doesn't use this automatically and you have to set it up.
When using cmd.exe as the terminal application in PyCharm, the Python venv for the project gets automatically activated, so, I don't need to run venv\Scripts\activate. But when using PowerShell this doesn't happen. Is it possible to make this happen?
This is the option that has to be ticked to activate the Python virtual environment:
which is ticked by default and was ticket in my case. The reason why it wasn't working (and failing silently) was because I move the parent directory to a different location on my hard drive and that seemed to break the venv. Deleting it and re-creating it fixed the problem.
I'm working on a web app and I use Django as framework.
I'm using VS Code on a macOS.
I get an error when I try to import some Django module. This is a screenshot of my code in error.
The error message is the following:
[pylint] E0401:Unable to import 'django.conf.urls'
I too was facing this error while working with Python virtual environments. In my case, it was happening because I have installed Django on my virtual environment and my base environment didn't contain any module named Django.
Base(Global) environment
and when I use the same command inside my virtual environment (myDjangoEnv)
Fix:
Now what I understood is that pylint uses the python interpreter to analyze our code and mark the error while we write the code.
Since I have three python environments in my system, hence three different python interpreters are available to my VS Code.
So if VS code uses the Python interpreter from the base environment, it will not recognize the Django module (import Error). Therefore, you are required to change the Python interpreter to the one present in your virtual environment.
It sounds complicated but it is pretty simple:
Click on the bottom left of the screen to change python interpreter.
Select from the list of available Python interpreters. Make sure you select the appropriate interpreter with respect to the current project.
Follow steps mentioned in the image. For details, or if that doesn't work, read further!!!
If you can't see your interpreter (installed in the virtual environment) listed in the drop-down list OR selecting interpreters listed don't rectify the error.
Then, you have to give the path of your interpreter (installed in venv) to vs code. Because you might have installed Django only in your venv. Happens when you don't use anaconda to create venv.
Steps to rectify-
To check the path, activate venv and type which python in terminal, this will give path. Copy the path.
Click interpreter on lower left, to pull drop-down, as shown in pic above.
Click enter the interpreter path.
Paste path copied.
This will assign the right interpreter and rectify the error.
Locate your project's virtual environment. In my case, I am working on a Django project and my virtual environment is located on the path below:
C:/Users/abc/Desktop/Virutal36/myLab/Scripts/python.exe
Copy the address of your virtual environment.
On VS Code, Select File > Preferences> Settings to open your User Settings (or use the Ctrl+, shortcut).
Create or modify an entry for python.pythonPath with the full path to your virtual environment and you will be good to go. In my case it is:
C:/Users/abc/Desktop/Virutal36/myLab01/Scripts/python.exe
https://code.visualstudio.com/docs/python/environments#_manually-specify-an-interpreter
Ctrl+Shift+P
Type Python:select interpreter
Now we will get:
Choose Enter interpreter path:
Select Find...
Then
Check correct django version is properly installed and active?
In the active environment, calling this code in python interpreter shouldn't have errors.
from django.conf.urls import url
Check the VS studio python environment
https://code.visualstudio.com/docs/python/environments
You need to select the right environment. So, go to view in tool bar, then select command pallet(ctrl+shift+p), then type "python:select interpreter", then select the right virtual environment where you start you project.
In my case I solved it using the Select Interpreter option from VS Code's Command Palette (Shift + Command + P).
I chose the Python interpreter option which corresponds with the folder in which my virtual environment was and it solved the issue immediately.
Hope it helps :)
Are you using a virtual environment (mkvirtualenv)? In that case you need to make sure you install django and pylint etc., within your virtual environment too, using the following commands.
workon [yourEnvName]
pip install pylint
pip install django
pip install djangorestframework
and so on...for all the modules you want to use.
enter image description here
Choosing a global environment helped me to recover this issue
First check the requirements that you install djangorestframework, second if you work on virtual envs maybe the pylint that you use not check in your virtual env so you can install in local the package.
For me, I opened the nested folder of my Django project. So, Django couldn't find the modules of venv.
Just mentioning, I thought it might be helpful to someone.
I was required to install anaconda for a CS course and used spyder and Rstudio.
Then, for a different class I used pycharm.
When I type on the command line "python -V" I get:
Python 3.6.1 :: Anaconda 4.4.0 (x86_64)
and I have no idea why it relates the python version I have installed with Anaconda (and why not pycharm?). I understand that the OS runs python 2.7 (shouldn't I get that instead? and when I type python3 -V get which version of python 3 I have?) and when I use something like Pycharm or Spyder I can choose which version I want from the ones I have installed and use it within the program, not for the terminal.
I just want to have everything in order and under control. I don't think I understand what Anaconda really is (to me is like a program that has more programs in it...). How do I keep anaconda to itself ? 1313
Also, should the packages I installed through Terminal work on both pycharm and spyder/anaconda even though when I used pycharm I used python 3.5 and anaconda 3.6?
I think I need definitions and help to get everything in order in my head and the computer.
Pycharm is just an application to help you write code. Pycharm itself does not run python code. This is why in PyCharm, you need to set the interpreter for a project, which could be any python binary. In PyCharm, go to Preferences > Project > Project Interpreter to see where you would set the python environment being used for a given project. This could point to any python installation on your machine, whether that is the python 2.7 located at /usr/bin/python or a virtual environment in your project dir.
The industry standard way to "keep things in order" is to use what are called virtual environments. See here: https://docs.python.org/3/library/venv.html. A virtual environment is literally just a copy of a python environment (binaries and everything) so whatever directory you specify. This allows you to configure your environment to however you need in your project without interfering with other projects you might have. For example, say project A requires django 1.9.2 but project b requires 1.5.3. By having a virtual environment for each project, dependencies won't conflict.
Since you have python3.6, I would recommend going to you project directory in a terminal window. Running python -m venv .venv to create a hidden directory which contains a local python environment of whatever your 3.6 python installation. You could then set your project interpret to use that environment. to connect to it on the command line, run source .venv/bin/activate from where you created your virtual environment. run which python again and see that python is now referencing your virtual environment :)
If you are using a mac (which I believe you are from what you said about python2.7), what likely happened is that your anaconda installer put the Python bin directory on your PATH environment variable. Type in which python to see what the python alias is referencing. You can undo this if you want by editing your ~/.bash_profile file if you really want.
You are more or less correct about anaconda. It is itself another distribution of python and contains a load of common libraries/dependencies that tend to make life easier. For a lot of data analysis, you likely won't even need to install another dependency with pip after downloading anaconda.
I suspect this won't be all too helpful at first as it is a lot to learn, but hopefully this points you in the right direction.