I am trying to host a Jupiter notebook server from the AWS cloud yet I have followed the following steps yet I cannot seem to access the notebook from my local browser. Can some one please tell me what is wrong?
https://docs.aws.amazon.com/dlami/latest/devguide/setup-jupyter.html
https://towardsdatascience.com/installing-pytorch-on-apple-m1-chip-with-gpu-acceleration-3351dc44d67c
https://docs.anaconda.com/anaconda/user-guide/tasks/remote-jupyter-notebook/
I have followed the tutorial exactly however I just cannot seem to get pass the security for some reason.
I wonder what does this mean? I cannot seem to fix it
Related
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'am trying to open Jupyter Notebook from Putty. I have a server where is installed Python and Jupyter. I followed all the steps from this post Remote access Jupyter notebook from Windows but it doesn't work. I got the error: This site can't be reached.
Any idea?
Thx
edit: I added a photo with the ps from putty and the error from browser. It's said:
This site can't be reached
.
The good old logout/reboot mechanisms work in this case too!
You can try closing the jupyter connection in the tunnel's connection, logout from the remote server, re-connect and try. Has worked a few times for me today.
If that doesn't work, there might be stale jupyter notebook processes on the remote server. Query for them and kill them and then logout-log back in and try.
If that still does not work, try implementing your code through ipython to check if Jupyter is working at all, even if its user interface isn't loading on your browser.
It's the first time that I am trying to use google credits, so I apologize if it's a basic question. I am trying to see how to connect google credits into google colab by this site https://medium.com/#senthilnathangautham/colab-gcp-compute-how-to-link-them-together-98747e8d940e (you can open it by creating a new incognito window).
I am stucked in step 3 because I can't see any SSH in my google cloud. Also the numbers after the -L are fixed? If not, how can I found them?
gcloud compute ssh colab-backend --zone=europe-west4-a -L 8081:locahost:8081
EDIT: I am trying to run the above line of code in Google Cloud SDK Shell, but I have this error.
Also, I can't type in the terminal jupiter notebook. If I run the above code in the python 3 jupyter notebook I have this strange error.
Actually, I had a very silly basic mistake. First of all your server should be linux and then write the following code in the windows command:
cloud compute ssh colab-backend --zone=europe-west4-a -L 8080:locahost:8081, change it into the zone of your project and port
type
jupyter notebook --NotebookApp.allow_origin='https://colab.research.google.com' --port=8888 --NotebookApp.port_retries=0 --no-browser
copy past the link into 'local runtime' in your google colab.
I want to use a remote Jupyter server via SSH with VSCode but I get an error whenever I try to specify the URI of any server. This also happens with local instances of Jupyter. Any server that is not started by VS Code seems to be unusable.
I am just starting a server like this
$ jupyter notebook --no-browser --port 8080
Then I enter the address in VSCode with the correct port and token
Nothing happens and I get this error, as you can see in the log below.
Command 'Python: Specify local or remote Jupyter server for connections' resulted in an error (Running the contributed command: 'python.datascience.selectjupyteruri' failed.)
Has anyone else been experiencing anything similar? I honestly have no idea how to troubleshoot this. It is worth noting that selecting the Default: VS Code will automatically start a server for you on localhost option raises the same error.
It looks like you're running a fairly old version of the Python extension, as the python.datascience.selectjupyteruri command no longer exists in the Python extension—it is now provided in a standalone Jupyter extension. Please consider upgrading to the latest version of the Python and Jupyter extensions. If that doesn't resolve the problem, please file an issue at https://github.com/microsoft/vscode-jupyter/issues and we'll be happy to help.
I am leading a team of analysts and want to introduce them to Jupyter Notebook as a window into Python programming.
We have Anaconda downloaded and installed on our Linux server. I've asked our IT to help set it up to run on Google Chrome and they have been able to only provide the following steps:
source /R_Data/anaconda3/etc/profile.d/conda.sh
this kicks off Anaconda on the server, must run in PUTTY. We stored the installation in the same location as RStudio hence the R_Data in the filepath.
/R_Data/anaconda3/bin/jupyter-notebook --ip 0.0.0.0 --port 8889
This sets up the port 8889 with a token generated each time from scratch. We then need to grab the token id and paste into Chrome with the full URL per step 3
http://localhost:8889/?token=ea97e502a7f45d....
When I paste this in Chrome it loads Jupyter.
While this gets the job done it seems less than ideal for an entire team of analysts to have to do this each time. We also have RStudio installed on the same server but that simply opens from Chrome using a URL since I assume it is always running in the background. Jupyter and Anaconda seem to only run once they are kicked off first in PUTTY and I would like a way to bypass those steps.
I am familiar with the Jupyter config file however my limited understanding as a non-developer tells me it applies only to each user and cannot be applied to all users simultaneously (i.e. as a root user on the server or something to that effect).
I am hoping someone here might point me in the right direction. I should also point out that as a Redhat user I can't follow instructions based in Ubuntu since that syntax seems different.
Many thanks for the help.
Yoni
A convenient way is to run jupyter notebook --no-browser --port=12345 on your server while connecting through the ssh tunel as ssh -N -f -L 12345:localhost:12345 myserveralias. Now jupyter is on your 12345 localhost. Things like AutoSSH or Keep Alive will help with an erratic network, however, take security into account.