On my Mac, I installed Python using Miniconda and I have also installed various Python packages using conda. In the Mac Terminal app, my base conda environment is active and when I run Python it correctly uses the Miniconda version of Python as shown below:
In Visual Studio Code (VSCode), I have selected the Miniconda version of Python using the Python Interpreter setting. The correct version of Python and conda environment is shown at the bottom of the window:
However, when I use the built-in terminal in VSCode it still uses the macOS Python even though it shows the base conda environment is active:
I'm using the Python, One Dark Pro, and Jupyter extensions in VSCode. Also, the $PATH in the VSCode terminal and in the Mac terminal app returns the following:
# VSCode terminal
base ❯ echo $PATH
/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/TeX/texbin:/Library/Apple/usr/bin:/Users/gavinw/miniconda3/bin:/Users/gavinw/miniconda3/condabin
# Mac terminal app
base ❯ echo $PATH
/Users/gavinw/miniconda3/bin:/Users/gavinw/miniconda3/condabin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/TeX/texbin:/Library/Apple/usr/bin
How can I configure the Visual Studio Code terminal to use the Miniconda version of Python?
After selecting the Python that comes with conda, the Python interpreter will be displayed in the lower left corner of VSCode, and then use the shortcut key Ctrl+Shift+` to open a new VSCode terminal, (or click "Terminal", "New terminal") it will automatically enter the selected environment and activate it automatically.
The terminal uses whatever python environment your configured shell command is set to. It is in no way linked to the environment of VS Code
However, If you attempt to run a Python file, it will open up the terminal with the full path to the specified interpreter
These details are laid out in the docs
The Python extension uses the selected environment for running Python code (using the Python: Run Python File in Terminal command), providing language services (auto-complete, syntax checking, linting, formatting, etc.) when you have a .py file open in the editor, and opening a terminal with the Terminal: Create New Integrated Terminal command. In the latter case, VS Code automatically activated the selected environment.
Also, if using code command from an activated session...
launching VS Code from a shell in which a certain Python environment is activated does not automatically activate that environment in the default Integrated Terminal.
Otherwise, launching the desktop app directly would also not be done from an activated conda environment
You may want to check the value in your settings for "python.terminal.activateEnvironment", but I believe this only applies when you actually run a .py file
Related
I have recently changed computers and I can't fix this 'issue'.
I'm working with Python now and of course I have installed the official Python extension for VS Code. There are options to activate the Python virtual environment at startup as you know, but it is using the Scripts\Activate.ps1 command to do it and it fails always. It works by using manually the Scripts\activate command.
How can I set the Python extension to use the activate command instead of Activate.ps1?
My default terminal is cmd in Visual Studio Code and I'm on Windows 11.
I do not want to switch to the Powershell terminal if possible. I'm fine the CMD.
You can change the command that VS Code's Python extension uses to activate the virtual environment by modifying the python.pythonPath setting in your VS Code settings.json file. Here's how to do it:
Open VS Code and go to File -> Preferences -> Settings
Search for python.pythonPath
Scroll down to the "Python Path" section and click "Edit in settings.json"
In the settings.json file, add the following:
"python.pythonPath": "~/mypath/virtualenv/Scripts/activate"
Save and restart
Maybe a simple question, but I cannot figure it out. I work within Visual Studio Code on a MacBook. Within a directory I create a virtual environment and have activated that with source .venv/bin/activate scripts and everything works fine.
In the terminal I see (.venv) (base) gaston#MacBook-Pro WebScraping %
When I start visual code another time and open this same directory I do not see the (.venv) so I again give manually the command to activate.
My question is there a way to activate the virtual environment automatically when opening the directory?
VS Code Default Python Interpreter Path
You can do this in a number of ways. If your goal is to have the virtual environment selected immediately at the launch of VS Code, you will have to target that virtual environment as the Python Interpreter in VSC.
https://code.visualstudio.com/docs/python/environments
System Preferences->Settings->Python: Default Interpreter Path
You'll want to point it to your virtualenv Python installation, likely something like:
envFolder/bin/python3
VS Code Launch Configuration Python Interpreter
You can also set a specific launch configuration so that VSCode will still use your system Python instance by default; however, specific launch configurations will have the virtual environment specified.
https://code.visualstudio.com/docs/python/debugging
I did something within settings and now it works.
When I open VSC now it opens the directory and the right environment, just the way I wanted it.
Took me some while to figure what finally did the trick:
I opened settings Command + , typed env in the search box. Scrolled through the results until I saw:
Python > Terminal: Activate Env In Current Terminal
and checked the checkbox. That solved my problem.
I am using visual studio code to try and replace the Spyder IDE. To replicate Spyder's variable explorer, I am trying to leverage VS code's Python Interactive Window.
Upon launching Vs Code, I select my environment using "Select Interpreter" and then picking the env. This then changes at the bottom of the application as expected.
However, when I then try and run my code in the interactive window it appears to reference a different environment? It also keeps telling me to install ipykernel.
Is this functioning correctly? I do see an option to change the env in the interactive window but that doesn't do anything.enter image description here
I found a similar question here But I have ipykernel installed in my environment so I'm not sure why it wouldn't notice that? Is there another dependency?
Maybe we can simplify the problem.
Click top-right environment and changes it to which you want.
Start off by opening your Anaconda prompt and from there activate your virtual environment (type: conda activate my_env, replacing my_env with your environment name, and hit enter.)
Then type the command: 'code', which will open up VS Code from within your active virtual environment. Before this approach, also check that your VS Code settings.json file has the python path set correctly to your environment installation. Now it should work.
To see your install path: Anaconda is installed in your user home directory: Windows 10: C:\Users\\Anaconda3\
When launching an Integrated Terminal for Visual Studio Code for a Python project that relays on its own virtual environment, the path to the python binary rests unmodified. In other words, the output of the integrated terminal is as follows (after launching it):
user#host:~/repos/project$ source /home/user/repos/project/.env/bin/activate
(.env) user#host:~/repos/project$ which python
/usr/bin/python
(.env) user#host:~/repos/project$ which python3
/usr/bin/python3
(.env) user#host:~/repositories/karbon/kuring$ echo $PATH
/home/user/repos/project/.env/bin:/home/user/local/bin:/home/user/.cargo/bin:/home/user/local/bin:/home/user/.cargo/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games
The virtual environment is configured in the project settings as follows:
.vscode/settings.json:
{"python.pythonPath": ".env/bin/python",}
The interpreter has been selected in the command palette to point to the same file path.
It is strange that even running "source .env/bin/activate" in a separate terminal seems to be loading the virtual environment, but the Python path remains unaltered.
Question: shouldn't VS Code be loading the interpreter from the virtual environment instead of the one from the operating system?
Please notice than in a regular BASH terminal outside VS code, I have no problems when it comes to use the virtual environment.
You should ad the reference to your working folder within the settings.json:
.vscode/settings.json:
{"python.pythonPath": "${workspaceFolder}/.env/bin/python",}
I'm new to pycharm, virtualenv, linux and git.
I've recently begun a journey of using djangoto make webapps. Before I used sublime to make scripts however now a more complex project management system such as pycarm was needed. I actually wanted to get a linux VM and go down that road but was advised that windows python IDE such as pycharm would be suitable
I recently learnt the importance of dependencies and how to use virtualenv. However in this tutorial, under the 'How do I use my shiny new virtual environment?' it starts using commands such as:
ls env
and
which python
Neither of which my pycharm console would understand.
I could use a console emulator such cmder to use the commands but then I would remove the convience of using the IDE's integrated one.
Should I upgrade to a linux VM ? Or can I install a package that allows me to use such commands in PyCharm.
As a bonus question, what are the commands in that tutorial ? are they linux commands? when ever i see $ .... is that the linux console ?
You can accomplish this using Vagrant: https://www.vagrantup.com/
You can use Vagrant and VirtualBox to setup a Linux VM (distro of your choice) and then install all of your Python dependencies in the VM. Once you have that setup, you can tell PyCharm to use the Python interpreter in your VM by following these steps:
Open the project settings dialog box in PyCharm.
Expand Project: (your project name) on the left side.
Click on Project Interpreter.
Click on the cog icon on the upper right side of the window and select Add Remote.
Click on the Vagrant radio button.
In the Vagrant Instance Folder box, select the directory your Vagrantfile is located in.
In the Vagrant Host URL box, make sure ssh://vagrant#127.0.0.1:2222 is specified.
Click OK.
Since Vagrant is compatible with Windows this solution should work for you. I have done it successfully using macOS and it works great. Good luck!
You might find this tutorial useful: https://developer.rackspace.com/blog/a-tutorial-on-application-development-using-vagrant-with-the-pycharm-ide/
I got this to work on Windows 10 with Anaconda Prompt. This terminal which comes with Anaconda, creates a "base" environment with a linux-like virtual machine and your Windows file system (C:\\) mounted to /c, and has bash installed with common Unix commands like cd, ls, chmod, echo, cat, ... Running programs from bash with access to environment variables is much nicer than Windows Powershell etc.
Now to get your Terminal in Pycharm to use Anaconda Prompt instead of cmd.exe, I followed this answer. After installing Anaconda and/or Anaconda Prompt, right-click -> Open File Location -> right-click the shortcut -> Properties -> copy file path. Then use your file path instead.
Conda is great for package environment management. Learn more about it here. For Django + Conda specifically, read here. You can also use pip to install from Python package indexes, github repos, and requirements.txt files instead. Unless you know how Anaconda Prompt works, I don't recommend creating your own environments from scratch. What worked for me was:
(base) C:\Users\wassadamo> conda create -n mynewenvironment --copy base
...
(base) C:\Users\wassadamo> conda activate mynewenvironment
(mynewenvironment) C:\Users\wassadamo> ls
folderA folderB file.txt
Works!
Whenever I try running conda deactivate to leave the base environment, my bash commands would stop working. So clone base as above.
Another tip: if you want to run shell scripts from Terminal within PyCharm with Anaconda Prompt this way, then execute them (e.g. "run.sh") on command line with
bash run.sh
I tried putting this on the first line of my run.sh
#!/usr/bin/bash
And running it with
./run.sh
But this had the effect of running it in an external Anaconda Prompt instance (add sleep, or some user input command to force it to wait and see for yourself). Explicitly running my .sh files with bash had the desired effect of running them in the same shell as I started them in PyCharm Terminal configured with Anaconda Prompt.