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.
Related
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
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
Remotely accessed Jupyter notebook from a linux machine has working too slowly and ambari server hosts shows the components are down ?
Working jupyter notebook can connected via putty from that machine using no-browser commnd.
I am using the Ubuntu sub-system on Windows 10.
I opened a terminal and entered the command:
jupyter notebook
and then a notebook is started at port 8888. Without closing this one, I opened another terminal and typed in jupyter notebook again, the new terminal says that:
[I 15:09:00.576 NotebookApp] The Jupyter Notebook is running at:
[I 15:09:00.577 NotebookApp] http://localhost:8888/?token=
with a different token number from the notebook running in the first terminal. If I open localhost:8888 with my browser and enter the token from the second terminal, jupyter rejects me, while the token from the first terminal passes.
I was wondering why can there be two notebooks running on the same 8888 port? If I kill the notebook in the second terminal, will it affect the notebook running in the first terminal?
Short answer - you can't have 2 notebooks server running on the same port.
From Jupyter documentation:
You can start more than one notebook server at the same time, if you
want to work on notebooks in different directories. By default the
first notebook server starts on port 8888, and later notebook servers
search for ports near that one. You can also manually specify the port
with the --port option.
This is probably a networking issue or caused by your environment configuration. Basically, For TCP/IP you can only have one application listening on the same port at one time. Now if you had 2 network cards, you could have one application listen on the first IP and the second one on the second IP using the same port number.
For UDP (Multicasts), multiple applications can subscribe to the same port.
You can always run the second server with --port option and port of your choosing.
Can you tell me what is the use of jupyter cluster. I created jupyter cluster,and established its connection.But still I'm confused,how to use this cluster effectively?
Thank you
With Jupyter Notebook cluster, you can run notebook on the local machine and connect to the notebook on the cluster by setting the appropriate port number. Example code:
Go to Server using ssh username#ip_address to server.
Set up the port number for running notebook. On remote terminal run jupyter notebook --no-browser --port=7800
On your local terminal run ssh -N -f -L localhost:8001:localhost:7800 username#ip_address of server.
Open web browser on local machine and go to http://localhost:8001/