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 e

Answer 1

I think accepted answer outdated and is not valid anymore.

You can terminate jupyter notebook from web interface on file menü item.

When you move Mouse cursor on "close and halt", you will see following explanation.

And when you click "close and halt", you will see following message on terminal screen.

Answer 2

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.