How to close IPython Notebook properly?

Question

How to close IPython Notebook properly?

Currently, I just close the browser tabs and then use Ctrl+C in the terminal.
Unfortunately, neither exit() nor ticking Kill kernel upon exit does help (they do kill the kernel they but don't exit the iPython).

Answer 1

There isn't currently a better way to do it than Ctrl+C in the terminal.

We're thinking about how to have an explicit shutdown, but there's some tension between the notebook as a single-user application, where the user is free to stop it, and as a multi-user server, where only an admin should be able to stop it. We haven't quite worked out how to handle the differences yet.

(For future readers, this is the situation with 0.12 released and 0.13 in development.)

Update December 2017

The IPython Notebook has become the Jupyter Notebook. A recent version has added a jupyter notebook stop shell command which will shut down a server running on that system. You can pass the port number at the command line if it's not the default port 8888.

You can also use nbmanager, a desktop application which can show running servers and shut them down.

Finally, we are working on adding:

• A config option to automatically shut down the server if you don't use it for a specified time.
• A button in the user interface to shut the server down. (We know it's a bit crazy that it has taken this long. Changing UI is controversial.)

Answer 2

Try killing the pythonw process from the Task Manager (if Windows) if nothing else works.

Answer 3

I am copy pasting from the Jupyter/IPython Notebook Quick Start Guide Documentation, released on Feb 13, 2018. http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html

1.3.3 Close a notebook: kernel shut down When a notebook is opened, its “computational engine” (called the kernel) is automatically started. Closing the notebook browser tab, will not shut down the kernel, instead the kernel will keep running until is explicitly shut down. To shut down a kernel, go to the associated notebook and click on menu File -> Close and Halt. Alternatively, the Notebook Dashboard has a tab named Running that shows all the running notebooks (i.e. kernels) and allows shutting them down (by clicking on a Shutdown button).

Summary: First close and halt the notebooks running.

1.3.2 Shut down the Jupyter Notebook App Closing the browser (or the tab) will not close the Jupyter Notebook App. To completely shut it down you need to close the associated terminal. In more detail, the Jupyter Notebook App is a server that appears in your browser at a default address (http://localhost:8888). Closing the browser will not shut down the server. You can reopen the previous address and the Jupyter Notebook App will be redisplayed. You can run many copies of the Jupyter Notebook App and they will show up at a similar address (only the number after “:”, which is the port, will increment for each new copy). Since with a single Jupyter Notebook App you can already open many notebooks, we do not recommend running multiple copies of Jupyter Notebook App.

Summary: Second, quit the terminal from which you fired Jupyter.

Answer 4

These commands worked for me:

jupyter notebook list # shows the running notebooks and their port-numbers
                      # (for instance: 8080)
lsof -n -i4TCP:[port-number] # shows PID.
kill -9 [PID] # kill the process.

This answer was adapted from here.

Answer 5

Linux (Ubuntu 14.04)

As mentioned, try to kill ipython notebook processes properly by first going to the "running" tab in your ipynb/jupyter browser session, and then check open terminals on your console and shut down with ctrl-c. The latter should be avoided if possible.

If you run an ipython notebook list and continue to see running ipython servers at different ports, make note of which ports the existing notebooks are being served to. Then shut down your TCP ports:

fuser -k 'port#'/tcp 

I'm not sure if there are other risks involved with doing this. If so, let me know.

Answer 6

First step is to save all open notebooks. And then think about shutting down your running Jupyter Notebook. You can use this simple command:

$ jupyter notebook stop 
Shutting down server on port 8888 ...

Which also takes the port number as argument and you can shut down the jupyter notebook gracefully.

For eg:

jupyter notebook stop 8889 
Shutting down server on port 8889 ...

Additionally to know your current juypter instance running, check below command:

shell> juypter notebook list 
Currently running servers:
http://localhost:8888/?token=ef12021898c435f865ec706d7c9af8607a7ba58bbee98632 :: /Users/username/jupyter-notebooks [/code]