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VSCode does not recognize venv

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.

MLFlow Projects can't find conda executable

I am following the tutorial on MLFlow website. I was able to run the train.py and mlflow ui worked fine. Packaging the project tries to use env variable MLFLOW_CONDA_HOME but can't find conda.
I have tried setting the variable to the path of anaconda3/condabin but it doesn't seem to find my executable. This is the error I get:
ERROR mlflow.cli: === Could not find Conda executable at /anaconda3/condabin\bin/conda. Ensure Conda is installed as per the inst
ructions at https://conda.io/docs/user-guide/install/index.html. You can also configure MLflow to look for a specific Conda executable by setting the MLFLOW_CONDA_HOME environment variable
to the path of the Conda executable ===
Adding \bin/conda at the end of my path seems to be the problem, I am not sure why mlflow is doing it. I even tried setting it to my python.exe in my conda env, but no luck. I can't find bin/conda folder in my Anaconda folder anywhere.

I resolved this by running it from Anaconda Prompt. Make sure mlflow is installed in anaconda first as well, nothing else. But the problem then is that it's not well compatible on windows, you would need to split into two steps, activate the conda environment and then run with --no-conda as mentioned here https://github.com/mlflow/mlflow/issues/2674

MLflow 1.5 was just released today.
It doesn't specifically mention it in the github notes, but I had the same issue, where it affixed \bin/conda, and now it doesn't do that anymore.

If you don't have conda environment then you can execute the following command from your terminal
mlflow run <enter your local directory name> --no-conda -P alpha=0.5
This should solve the issues with the environment variable.

I solved the issue by removing the MLFLOW_CONDA_HOME environment variable alltogether. Make sure you have added the path to the conda executable to your PATH variable.

Here is one possible solutions (the fastest one, in my opinion).
Key points:
The project virtual environment should be created with conda.
Use pip to install MLFlow.
Follow the steps for Windows:
Install miniconda (in my case, version 3)
Set conda bat file (installation path + condabin dir + conda.bat) in PATH
Create your project without virtual environment (in my case, I set in PyCharm conda instead of venv and it did not create any virtual environment, just added some external libraries), at least not in the project directory.
Create conda virtual environment manually in the project directory. In your project directory, execute conda create -n venv and follow the instructions (I used default for all the questions there).
Open a terminal and activate conda virtual environment. If you use PyCharm, you will be positioned properly, otherwise just prompt yourself in the project directory. Execute conda activate venv where venv is my virtual environment created at point 4.
Execute python -m pip install mlflow
If you want to test it, you can try one of the tests from MLFlow. E.g., you can use mlflow run https://github.com/mlflow/mlflow-example.git -P alpha=5.0
In my case, it worked.

If you're using mlflow.pyfunc.spark_udf and get an error saying Could not find Conda executable conda then try to define the environment variable MLFLOW_CONDA_HOME in spark-env.sh as Spark doesn't recognize variables defined elsewhere. Also make sure to use the absolute path for the Conda executable.

I faced this issue within a kubernetes deployment with miniconda3 as the base image. Fixed this by setting the MLFLOW_CONDA_HOME env variable to "/opt/conda/"

Access is Denied on Anaconda Prompt - Cannot Use Conda Activate

I was having some problems with Anaconda on my work computer, and I needed to uninstall and reinstall it. After we uninstalled it, I deleted some left over folders that were not initially deleted. In particular, I deleted:
C:\Users\MY_ID.anaconda,
C:\Users\MY_ID.conda,
C:\Users\MY_ID.ipython,
C:\Users\MY_ID.keras,
C:\Users\MY_ID.matplotlib,
C:\Users\MY_ID.spyder-py3,
C:\Users\MY_ID\AppData\Local\conda,
C:\Users\MY_ID\AppData\Local\Spyder.
After deleting those folders, we began the installation process. During installation, we had the following settings:
Add Anaconda to PATH,
All Users,
Changed the directory from C:\ProgramData\Anaconda3 to C:\Users\My_ID\Anaconda3.
Once the installation was complete, I was able to open Anaconda Prompt and use the conda command to activate my virtual environment and install packages from within that environment.
At the end of the day, I restarted my computer. This morning, I opened the Anaconda Prompt, and I receive:
Access is denied.
C:\Users\MY_ID> _
How come it suddenly quit working? Do I need to clear caches? Also, I do not have Admin Privileges. Thank you!

Add conda to my environment variables or path?

I am having trouble adding conda to my environment variables on windows. I installed anaconda 3 though I didn't installed python, so neither pip or pip3 is working in my prompt. I viewed a few post online but I didn't find anything regarding how to add conda to my environment variables.
I tried to create a PYTHONPATH variable which contained every single folder in Anaconda 3 though it didn't worked.
My anaconda prompt isn't working too. :(
so...How do I add conda and pip to my environment variables or path ?

You can access to conda and pip directly in their directory :
On Windows : %ANACONDA_INSTALL_DIR%\Scripts, you will find conda.exe and pip.exe
On Linux : $ANACONDA_INSTALL_DIR/bin, there are conda and pip executable files.
Where $ANACONDA_INSTALL_DIR is the directory of your Anaconda installation.
To add Anaconda to your path, you can add this folder to your PATH.
For Linux, you can add this line to yout .bashrc file
export PATH=$ANACONDA_INSTALL_DIR/bin:$PATH
As said #BcK, reinstalling Anaconda and choosing to add Anaconda to your path is also a way to do this. This option makes a backup of your .bashrc file and add the export line.
EDIT
To open a terminal with the conda environment activated on Windows, I usually create a desktop shortcut with the following target :
%windir%\System32\cmd.exe "/K" %ANACONDA_INSTALL_DIR%\Scripts\activate.bat %ANACONDA_INSTALL_DIR%

Thanks guys for helping me out. I solved the problem reinstalling anaconda (several times :[ ), cleaning every log and resetting the path variables via set path= in the windows power shell (since I got some problems reinstalling anaconda adding the folder to PATH[specifically "unable to load menus" or something like that])

Use Conda environment in pycharm

Conda env is activated using source activate env_name.
How can I activate the environment in pycharm ?

open
pycharm/preferences/project/Project Interpreter
And check existing interpreter. Conda environments may already be listed there.
If not exists, you can create a new conda environment with "Create Conda Env" button
If you are looking for a specific conda environment you can use 'add local'. When you click 'add local' you will input conda environment path + /bin/python
You can list all conda environment in your system with following commnad.
>>conda info --env
# conda environments:
#
tensorflow * /Users/username/miniconda3/envs/tensorflow
you can chose the approach best fits your needs.

The best PyCharm specific answer is this one by wasabi (below).
In general though, if you want to use an interpreter from within a Conda environment then you can change the location of the interpreter to point to the particular environment that you want to use e.g. /home/username/miniconda/envs/bunnies as mentioned in this comment.
However, as mentioned in this answer by Mark Turner, it is possible to have a shell script executed when activating an environment. This method will not run that shell script, but you can follow his workaround if you need that shell script run:
open a conda prompt
activate the environment
run pycharm from the conda prompt

How about environment.yml
Pycharm can create a new conda environment indeed. Unfortunately, until this issue is fixed, it won't offer environment.yml support, which means it won't install the dependencies declared there.
When working on a project based on such a file, you need to create / update the dedicated env manually on your machine:
conda env create -n <my-project>
Then remember to update each time environment.yml changes (from you or upstream).
conda env update -n <my-project>
Not ideal

As mentioned in one of the comments above, activating an environment can run scripts that perform other actions such as setting environment variables. I have worked in one environment that did this. What worked in this scenario was to:
open a conda prompt
activate the environment
run pycharm from the conda prompt
Pycharm then had access to the environment variables that were set by activating the environment.

I had the same problem i am on windows 10 professional 64 bit
my solution was to start Pycharm as adminstrator and it worked

Go to settings at the top right corner of the PyCharm IDE.
Go to Project:{Your Project Name}->Python Interpreter
Go to the settings inside here and click add:
In Add Python Interpreter select conda env
Select existing environment and click on your required conda environment path from the dropdown menu OR add the path of the python.exe file in your conda environment. As a reference, I am adding the path for my windows10 system: C:\Users\maria\AppData\Local\Continuum\anaconda3\envs<mycondaenv>\python.exe It can vary for your system based on installation configs.

It seems important to me to know, that setting project interpreter as described in wasabi's comment does not actually activate the conda environment.
I had issue with running xgboost (that I installed with conda) inside PyCharm and it turned out that it also need some folders added to PATH. In the end I had to make do with an ugly workaround:
Find out what are the additional folders in PATH for given environment (with echo %PATH% in cmd)
In the file I wish to run put to the top before anything else:
import os
os.environ["PATH"] += os.pathsep + os.pathsep.join(my_extra_folders_list)
I know this is not at all proper solution, but i was unable to find any other beside what Mark Turner mentioned in his comment.

To use Conda environment as PyCharm interpreter
activate Conda environment from Conda navigator
open PyCharm from the navigator tool list
in Conda Add interpreter section choose existing Conda environment and it automatically recognises the path of that environment's python.exe file

First , select Interpreter setting ... in right bottom of Pycharm.
Then choose python.exe from your desired conda environment.
My environment path is : C:\Users\javadsh\anaconda3\envs\tf-gpu\python.exe

Go to Pycharm -> Preferences -> Project Interpreter. At the top left of the packages table there is a plus sign, minus sign, a green circle and an eye; uncheck the green sign; that will let you have access to the packages while using conda environment.