is there a way I can run python code in vscode .dev, im looking for a way to do this on a school Chromebook.
You can install the Python extension in VSCODE.dev, and then run the file with a Jupyter Server by right clicking and choosing "Run Current File in Interactive Window." HOWEVER: You must run the Jupyter Server on some computer (if you're chromebook has the Linux Development Environment enabled, you could do it there). You could run it on a remote computer, but that will cost money.
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In tutorial requirement is install vscode in windows and install Remote Development extension pack. Why not just install in wsl?
I've install vscode to wsl. When I run code in wsl I get message:
To use Visual Studio Code with the Windows Subsystem for Linux, please install Visual Studio Code in Windows and uninstall the Linux version in WSL. You can then use the `code` command in a WSL terminal just as you would in a normal command prompt.
Do you want to continue anyway? [y/N]
To no longer see this prompt, start Visual Studio Code with the environment variable DONT_PROMPT_WSL_INSTALL defined.
Which cons of run vscode in wsl as opposed to run it in Windows?
The WSL extension splits VS Code into a “client-server” architecture, with the client (the user interface) running on your Windows machine and the server (your code, Git, plugins, etc) running "remotely" in your WSL distribution.
When VS Code is started in WSL, no shell startup scripts are run.
The extension runs commands and other extensions directly in WSL so you can edit files located in WSL or the mounted Windows filesystem (for example /mnt/c) without worrying about pathing issues, binary compatibility, or other cross-OS challenges.
(source: MSFT DOCUMENTATION)
This is the architectural choice of Windows and - personally speaking - I feel like it's a choice to avoid conflicts and redundancies.
When running the WSL extension, selecting the 'Extensions' tab will display a list of extensions split between your local machine and your WSL distribution.
Installing a local extension, like a theme, only needs to be installed once.
Some extensions, like the Python extension or anything that handles things like linting or debugging, must be installed separately on each WSL distribution. VS Code will display a warning icon ⚠, along with a green "Install in WSL" button, if you have an extension locally installed that is not installed on your WSL distribution.
I'm using wsl and it runs codes in vscode pretty fine and I have different libraries which I installed through pip and conda in wsl but when I run that code using vscode itself it doesn't recognize the libraries or even pip itself.
I don't have any other environment.
I should add that I installed the packages globally using conda install ... or pip install ... in base environment and I only have base environment and I run my code through code . and I also have python and remote wsl extensions installed in my vscode.
what can be the problem?
I don't have much personal experience with this, but I found some useful information in this Stack Overflow question (even though it doesn't utilize conda), along with https://code.visualstudio.com/docs/remote/wsl-tutorial#_python-development.
I also found this blog post useful, even if it doesn't cover WSL.
In short, make sure you:
Have installed the Python extension (by Microsoft) in VSCode. This is critical for being able to detect and select the Python interpreter. You don't mention having this in place, so I believe this is your likely problem.
You have done this already, but including it for others who might read this later -- Install the Remote - WSL extension (or the Remote Development extension pack) in VSCode.
You are also doing this already -- Start VSCode from inside your WSL distribution. Alternatively, you can start VSCode from Windows and then select the Remote WSL - Reopen Folder in WSL from the Command Palette (also accessible from the "Remote" Status Bar).
In VSCode, open the Command Palette with Shift+Ctrl+P, search for the Python: Select Interpreter command, and you should find your Conda environment in the list.
After selecting this, you should find that your project is using the interpreter and modules that you have installed via conda.
One thing I did to overcome this issue is go to Extensions -> Local (You should have two tabs there, Local and WSL:DISTRO) DISTRO refers to whatever DISTRO you're using, you will see that some of the local extensions are disabled in the current workspace (WSL) and there is a little cloud icon in the WSL:DISTRO tab that says install Local Extensions in WSL:DISTRO once you click that it will let you choose which extensions to install and you should be good to go!
By looking up some information, I know that the programs installed by flatpak are all running in the sandbox. Is there a way to make the sandbox environment search for some of the system environment to type content?
The program I want to use in vscode's integrated terminal is located under /usr/libexec/tmp. But the path cannot be searched in vscode's integrated terminal. However, it can be searched in an external terminal and can run programs.
Can you do some configuration in vscode using flatpak installation to accomplish the above goals?
I tried to install Code-OSS using the aur source, and the code-OSS terminal is synchronized with the system terminal environment.
However, Code-OSS cannot log in using a github account.
I am trying to run some notebooks in my virtual environment in the VSCode (remotely connected). I install the venv as usual via python3 -m venv <venv-name>, activate it and install all the needed modules. When I run which ipython I get the one from the venv so I install the kernel via ipython kernel install --name "<name>" --user and it is successfully created in ~/.local/share/jupyter/kernels/ directory and the kernel.json points to the venv python. Then I open the VSCode and select both the Python: Select Interpreter and Jupyter: Select Interpreter to start Jupyter server to point to the virtual environment's python, sth. like .../<venv-name>/bin/python3.
However, when I try to run the cell it wants me to select kernel (I can also do it myself in the upper right corner of the VSCode), but my newly created kernel is not there. There are only two (same) ones from usr/bin/python.
It is really strange since twice in two days my kernel magically appeared for one notebook and worked as desired, but when I opened a new notebook, my kernel was gone again. I tried to remove/reinstall kernels, venvs, VSCode's Python and Jupyter extensions but nothing helped. Any suggestions?
For now, I start the kernel in remote command-line via jupyter notebook --no-browser --ip=<ip> and then insert the connection link to Jupyter Server in the bottom right corner of the VSCode status bar but am wondering if there is an easier way since all the stuff (except VSCode) is on a remote machine?
This way is not easy. You can set up Jupyter Kernel easily.
Firstly, using ssh to connect to the remote server.
Secondly, open Command Palette (⇧⌘P) and enter Python: Select Interpreter, you can directly connecting to remote kernel.
resource: https://code.visualstudio.com/docs/datascience/jupyter-notebooks
I am using Windows 10 and want to set the the default VSCode interpreter for Python to be the same one used in my WSL 2 (Ubuntu), so that I'm always using "one Python".
When I click "Select Python interpreter" a prompt appears to find the interpreter path, but I'm not sure what the path would be.
I think that, in order to use the WSL python, you need to be running VSCode in a WSL remote window. You need to install the Remote WSL extension first. Then, on the lower left there is a green button that will let you start a WSL window, or it will tell you that you are already in one.
If you are in a WSL window, you should be able to select your python interpreter pretty easily. It will either automatically detect it, or you can run which python3 in an Ubuntu terminal to get the path. If you want to navigate to a file on your Windows file system from within this window, look in, e.g., /mnt/c/Users/<USER_NAME>.
Well probably late to the party but you can find Python you are using on your WSL2 with simple command:
which python3
It will show you where is the python placed.
While above answers work, there are some related things to keep in mind here (or are at least worth mentioning):
I would recommend to create a virtual environment for your project. If you do so, its very easy to find the python interpreter in the bin folder of the venv. (If you want to "find" your WSL folder in windows. Just enter explorer.exe . in your terminal - it will open a windows explorer in the current location.
If you open the python interpreter selector form within VS Code on Windows, be aware that it opens a windows that let's you select "Executables" (meaning WINDOWS wxecutables):
You will not be able to open your python interpreter located in your wsl like that, as the folder will be shown as empty.