is there a way to use JupyterLab in VS Code? I know that VS Code provides the Jupyter Notebook extension. However, I need to connect to another server remotely......
Any guidance will be appreciated!
You can offload intensive computation in a Jupyter Notebook to other computers by connecting to a remote Jupyter server. Once connected, code cells run on the remote server rather than the local computer.
To connect to a remote Jupyter server:
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.
For guidance about securing a notebook server, refer to the Jupyter documentation.
Related
I use PyCharm Professional and I am trying to launch Jupyter Notebook inside PyCharm IDE.
I followed the official instructions Manage Jupyter notebook servers.
I installed Jupyter and configured python 3.8 interpreter using virtual environment. I do not use conda.
When I run the first cell "Starting Jupyter Server" message is shown on the Jupyter top bar. I now that I have to insert Jupyter password or activation token for the server.
When I run command inside PyCharm terminal it gives me only the address:
jupyter notebook list
Currently running servers:
http://localhost:8888/
As officials say here must be shown authentication token for the server, but it is missing.
So, where I can find this token to enter the Jupyter Server and see other server's configuration details?
I have just found the answer by myself.
I have Jupyter configuration already in the folder ~/.jupyter/jupyter_notebook_config.py where the password and other parameters are set. So, to enter the server all I had to do is to enter the password which I set on my own in the above configuration file in the past.
I need some advice. So I am a big fan of VS Code and I always use its embedded notebooks. I built a remote Jupyter Server on Oracle Cloud hoping I could connect from vscode. To create the server I based on this article, but migrating as advised by Jupyter to JupyterServer. I've also used miniconda isntead of venv.
The server seems to work correctly, I can access it from my browser and in my Windows Terminal SSH, open Jupyter Lab, create and run noteboooks in it, etc. The problem is when I try to use it with VS Code, when I try to specify de Jupyter Server for connections, it allows me to do it, it even prompts me that it is an insecure connection (I use self signed ssl certificate), and it does mark Jupyter Server: Remote BUT, when I try to select my interpreter, change my kernel, it only shows my local conda envs. if I run !hostname it shows me my local hostname, not my remotes, it isn't really connecting or using the remote Jupyter server to run the cells.
I've looked around and can`t find a way to make it work, I really want it to work with VS Code, any help?
This has no impact on the actual use of jupyter. Your confusion is actually a misunderstanding caused by the definition of names.
As stated in the official document, when you connect to a remote server, everything runs in the server ather than the local computer.
At present, there is an issue for changing the naming on GitHub, which you can read in detail.
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 remember I was able to reconnect to an existing Jupyter notebook session in VS code before by changing the kernel for a notebook. Now the option to reconnect to an existing session is gone, see:
How do I reconnect to an existing Jupyter notebook session in VS code?
To be clear, the sessions were never shut down. In fact, I can still see them running in the Running tab of my browser version of jupyter notebook, although clicking on them results in a 404 error:
The jupyter kernel is running on a remote server. I use a SSH session to connect back to it when I work.
Current versions: VS code is v1.68.1 and the Jupyter extension on remote machine is v2022.5.1001601848, if that helps.
If you would like to connect to an existing jupyter server can you do so by going into the command Jupyter: Specify Jupyter Server for Connections and selecting the appropriate remote server from the list. If the required server is not on that list, then you can select it.
I'm running a notebook on a remote server, to which I connect from my local machine via browser. One slight annoyance I have is it prints this on start:
Serving notebooks from local directory: /home/xxxxxxx
0 active kernels
The Jupyter Notebook is running at:
http://(friendly or 127.0.0.1):8888/
Where friendly is the friendly name of the host. The FQDN of the host is actually friendly.x.y.z.com. I would like it to print this:
The Jupyter Notebook is running at:
http://friendly.x.y.z.com:8888/
so that the URL is directly clickable from the console. Is there a config option I can pass somewhere to do that in jupyter notebook to explicitly specify the hostname I want displayed?
To be clear, http://friendly.x.y.z.com:8888/ resolves correctly in the browser despite the above message.
You should first generate the config file:
jupyter notebook --generate-config
Then using the config file you can set the custom URL by editing the config file ~/.jupyter/jupyter_notebook_config.py changing the following line:
c.NotebookApp.custom_display_url = 'http://friendly.x.y.z.com:8888'
So when you start the server it will show this URL concatenated with the token.