I am learning Jupyter Notebooks at the moment. Is it possible to link a Jupyter Notebook to an HTML page.
For example, say I have an HTML page which is on my computer. Can I use this to link to a Jupyter Notebook, so when the link is clicked it loads the notebook in a viewer to be run?
Thanks,
BJR
I am not using Jupyter notebook this way (actually I use Jupyter Lab). However, if I understood correctly you want to click on link on HTML page in your local machine and run notebook.
If trying access Jupyter notebook via HTML link in your machine while notebook (server) is not running or you are using non-default browser while notebook is running you will reach page with following information which should be sufficient to plan you next steps:
Token authentication is enabled
If no password has been configured,
you need to open the notebook server with its login token in the URL,
or paste it above. This requirement will be lifted if you enable a
password.
The command:
jupyter notebook list
will show you the URLs of running servers with
their tokens, which you can copy and paste into your browser. For
example:
Currently running servers:
http://localhost:8888/?token=*****... :: /Users/you/notebooks
or you can paste just the token value into the password field on this
page.
See the documentation on how to enable a password in place of token
authentication, if you would like to avoid dealing with random tokens.
Cookies are required for authenticated access to notebooks.
Setup a Password You can also setup a password by entering your token
and a new password on the fields below:
Token
New password
Basically it means that: link to Jupyter notebook will work if you have started server with token autorhization and use default browser. You can set password which means that you can use whatever browser in your machine but must log in (you can save login credentials in your browser of course). In any case notebook (server) must have been started and running before using link.
Link will not run your notebook, it just opens notebook page.
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
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.
I am setting up an API script and I am using Jupyter Lab on a virtual machine. When I run the cell with the login code, I get the following error.
WARNING: We could not open a usable web browser for authentication purposes, or alternatively, please copy the below link:
I then have to manually copy the link into a new browser tab and the API will work. My question is around automating this, is there any way I can have my script copy the link from the Jupyter notebook output cell and then automatically copy it into a new browser tab?
How can I remove access to a Jupyter Notebook server to previous users? I did a quick setup of a Jupyter Notebook server and provided access to a few users. Now that it's no longer needed, how can I force the authentication cookies to expire and reset the authentication token?
I think I should have used JupyterHub, but I didn't know about it then.
I had to delete the runtime files as well as the change the password.
You can get the path to the runtime files with jupyter --paths
Also see https://docs.jupyter.org/en/latest/use/jupyter-directories.html#runtime-files
Stop the server, run jupyter notebook password and set/change your password.
How to solve this issue of Jupyter extension loaded from C and jupyter application directory is something else.I am unable to use numpy and matplotlib in Jupyter notebook.
this is what I get in Anaconda Prompt
These are the two errors I get 302 and 404 when I host the notebook
This is I got when I run a code in notebook
continued...error I get
It usually happens when the application is not able to initiate or determine a default browser. Just copy the entire link http://localhost:8888/?token=4e558da5a28601f99fbc0f1773a4200c57e89b6d487de19a and paste it in a web browser similar to how you access any web url. Remember, the token changes every time you initiate the jupyter notebook.