Month: March 2018

This post provides instructions on how to check whether a Jupyter server is running from command line and kill if needed.

Normally, you can kill a Jupyter server from the same terminal window where you launched your Jupyter notebook by hit CTRL + C, then type yes, to shut down the kernels of Your jupyter notebook.

But, there are situations where you want to know whether a Jupyter-notebook running on your remote server, but the Jupyter notebook was started on another desktop (e.g., your office desktop), (and now you are working at home from your laptop, and want to check whether the notebook is still running).

After you login to your Server where you Jupyter notebook was installed and running, you can use the following command to list runing notebooks.

$ jupyter notebook list

You will see a list of running notebooks in the terminal, if you have several running ones.

You can use the following command to kill specific notebook (identified by the port it runs the jupyter) that you would like to stop.

$ jupyter notebook stop 8888

P.S.:

Each server should start on a new port. jupyter notebook list is reading a set of data files – each notebook server you run writes a file when it starts up, and attempts to remove it when it shuts down. If you see different listed servers on the same port, that means some of them exited without successful removal of the file when it created (for example, unexpected shut down of the notebook would cause this happens).

 

References:

https://github.com/jupyter/notebook/issues/1950

https://github.com/jupyter/notebook/issues/2844

 

 

Normally people run jupyter notebook via browser, but in some situation, we will need to run it from terminal, for example, when running the script takes long time.

This post introduces how to run a jupyter notebook script from terminal.

Solution  I:

runipy can do this. runipy will run all cells in a notebook. If an error occurs, the process will stop.

• Install  runipy package

$ pip3 install runipy # for python 3.x 
$ pip install runipy  # for python 2.x

• runipy command-line usages

 

• To run a .ipynb file as a script, run:

$ runipy MyNotebook.ipynb

• To save the output of each cell back to the notebook file, run:

$ runipy -o MyNotebook.ipynb

• To save the notebook output as a new notebook, run:

$ runipy MyNotebook.ipynb OutputNotebook.ipynb

• To run a .ipynb file and generate an HTML report, run:

$ runipy MyNotebook.ipynb --html report.html

 

Solution  II:

The latest versions of jupyter comes with  the nbconvert command tool for notebook conversion allows us  to do this without any extra packages.

Just go to your terminal and type:

$ jupyter nbconvert --to notebook --execute mynotebook.ipynb --output mynotebook.ipynb

This will open the notebook, execute it, capture new output, and save the result in mynotebook.nbconvert.ipynb. By default, nbconvert will abort conversion if any exceptions occur during execution of a cell. If you specify --allow-errors (in addition to the --execute flag) then conversion will continue and the output from any exception will be included in the cell output.

if you meet this error,

raise exception(“Cell execution timed out”)

$ jupyter nbconvert --to notebook --execute --allow-errors --ExecutePreprocessor.timeout=180 mynotebook.ipynb 

You can use the –inplace flag as well:

$ jupyter nbconvert --to notebook --execute --inplace mynotebook.ipynb

 

check here for more (updated) usages about nbconvert jupyter command tool.

 

References:

https://pypi.python.org/pypi/runipy

http://nbconvert.readthedocs.io/en/latest/usage.html#convert-notebook 

Can I run Jupyter notebook cells in commandline?