I can connect to a remote Jupyter Notebook server with a token from VSCode through the "Python: Specify Jupyter server URI" command from the Command Palette.
However, I couldn't find a way to do this:
Access the remote server's terminal to run command-line Python code. Using the ! magic in cells itself is not useful as the command line code is interactive.
Is there a way to do this?
A little late and not sure if it's the answer you were looking for, but I personally prefer to access remote server's terminal from Windows Terminal, you can set a profile for your server as shown here SSH in Windows Terminal
You can mix this with the extension Windows Terminal Integration for vscode
Related
I have installed jupyter-related plugins in VS Code. While I close the VS Code, the GPU memory is cleared. I can't use jupyter like the traditional method in the browser.
I changed the jupyter to remote with localhost: port in VS Code, the Jupyter: Server Remote displayed in the button of VS Code GUI.
Steps:
The remote jupyter notebook is running in the tmux with & bash option.
Add port forward in VSCode.(maybe unnecessary)
Ctrl + Shift + P and search "Jupyter: Specify Jupyter Server for connections".
Add URL with the token.
Run a ipynb file and nvidia-smi to see the usage of GPU.
Close the VSCode, the GPU memory is clear.
When you use remote mode, the code runs in the server instead of the local computer.
Please operate again according to the documentation.
Select the Jupyter Server: local button in the global Status bar or run the Jupyter: Specify local or remote Jupyter server for connections command from the Command Palette (Ctrl+Shift+P).
When prompted to Pick how to connect to Jupyter, select Existing: Specify the URI of an existing server.
When prompted to Enter the URI of a Jupyter server, provide the server's URI (hostname) with the authentication token included with a URL parameter. (If you start the server in the VS Code terminal with an authentication token enabled, the URL with the token typically appears in the terminal output from where you can copy it.) Alternatively, you can specify a username and password after providing the URI
I create new ec2 for jupyter server and i'm running jupyter lab with back-ground so i can access jupyter lab in browser.
However, i want to edit my ipynb file in vscode but in vscode i can connect jupyter server but i can't see directories or read files in ec2. I tried over and over to connect the server and see the directories. The only solution I got was remote ssh. however, Remote-shh is not a good way for jobs in ec2
Is anybody can give me an answer?
I can only see the connection with vscode and i cannot see any files plz help me
remote ssh is the standard approach. you would need to SSH to your EC2 from vscode, then you can browse and run notebooks.
In vscode, go to extensions and install "Remote - SSH" & "Remote - SSH: Editing Configuration Files"
Open command palette (cmd/ctrl + shift + P) and type "show remote explorer"
Add new ssh target by editing ~/.ssh/config. should look like:
Host SOME-NAME
HostName YOUR-EC2-PUBLIC-IP
User YOUR-EC2-USER
IdentityFile PATH-TO-EC2-PEM-FILE
you can connect to your EC2 through vscode. you can then open .ipynb files (assuming you have required extensions. e.g: jupyter, IPython kernel) as well as having files explorer.
this question is old, but still worth answering it. to edit your files in remote VSCode:
in remote connected vscode go to terminal > new terminal, this will open an "ec2 instance" terminal.
while there, cd to the folder you want to work on it.
call the command "code ." this will open all the files in that folder, and you can edit or run them.
When I start a jupyter notebook, I am able to start a terminal prompt running on the host machine with "New > Terminal".
Is it possible to connect to this terminal with, for instance, iTerm, instead of using the web interface?
How does jupyter connect to the remote terminal?
Note: I am using a remote Jupyter notebook with several port forwarding. I am not able to directly open a terminal onto this machine.
I can connect to a remote Jupyter Notebook server with a token from VSCode through the "Python: Specify Jupyter server URI" command from the Command Palette.
However, I didn't find a way to do 2 things:
Open an existing Notebook on the remote Jupyter Notebook server.
Specify a folder to connect to, where my existing notebook resides in the remote server.
Is there a way of doing it?
Currently, VSCode doesn't support this functionality. See this issue: https://github.com/microsoft/vscode-python/issues/8161
I'm running Jupyter notebooks (Python 3) on a remote cluster that I'm connected/tunneled to over SSH.
Jupyter's default behavior is to try to open the dashboard in a web browser when it launches -- aparently (I only just updated), at some point they switched to the Python 3 webbrowser library for this.
According to webbrowser's documentation:
text-mode browsers will be used if graphical browsers are not available or an X11 display isn’t available.
This is exactly what happens. I run jupyter notebook, webbrowser launches elinks, and my one-time authentication token gets eaten, preventing me from connecting to the notebook.
Jupyter isn't configured to use a browser -- c.NotebookApp.browser is commented out in my config -- and running BROWSER="" jupyter notebook doesn't help either.
How can I force Jupyter not to open any browser?
jupyter-notebook --help includes the following:
--no-browser
Don't open the notebook in a browser after startup.
jupyter notebook --generate-config
Then edit ~/.jupyter/jupyter_notebook_config.py and Add
NotebookApp.open_browser = False
You can achieve this by specifying --no-browser:
$ jupyter notebook --no-browser
I also recommend that you specify the port you want to use:
jupyter notebook --no-browser --port= <port_number>
ie:
$ jupyter notebook --no-browser --port=8888
You have to keep in mind that when you do this, jupyter will provide you with a token on the console, token that the server will ask you when connect remotely through the browser.
If you want to simplify this procedure, you can set a password that is easier for you to remember. To do this, you can run in a console:
$ jupyter notebook --generate-config
and later:
$ jupyter notebook password
This last command will ask you for the password that you wish to use to enter remotely.
Regards!