IPython notebook: Difference between revisions

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When launching the notebook, the system will create a dedicated server listening to localhost (default) running on a specific port.
When launching the notebook, the system will create a dedicated server listening to localhost (default) running on a specific port.


==Access from the outside==
Launch the notebook with a chosen port number
To launch your notebook and access it from the outside (your browser) :
 
<pre>ipython notebook --ip=UI_URL --port=PORT_NUMBER --pylab inline</pre>
 
Where UI_URL is the ui url where you launched the command (eg. ui01.iihe.ac.be) and PORT_NUMBER is a custom defined port that you have to choose (between 1025 and 65635)
Then, open the url http://UI_URL:PORT_NUMBER from your web browser.
 
WARNING :
Using this method will expose your notebook to the outside (internet), that means if someone open your notebook, he can do whatever he wants on it. The safest way is to use a SSH tunnel.
 
==Access via SSH tunnel==
This way is more secure but a bit more complex
 
Launch the notebook only on localhost
<pre>ipython notebook --port=PORT_NUMBER --pylab inline</pre>
<pre>ipython notebook --port=PORT_NUMBER --pylab inline</pre>



Revision as of 11:55, 5 October 2016

IPython is an interactive Python environment. Coupled with the "notebook" module, it provides a rich web interface.


Where is it

IPython notebook is available on the cluster in 2 environments : the custom build and CVMFS.

To load from the custom build :

source /software/sources/latestEnvironment

To load from CVMFS : See IceCube Software Cluster#CVMFS

Launch a notebook

When launching the notebook, the system will create a dedicated server listening to localhost (default) running on a specific port.

Launch the notebook with a chosen port number

ipython notebook --port=PORT_NUMBER --pylab inline

Create a tunnel from your machine

ssh -L PORT_NUMBER:localhost:PORT_NUMBER uixx.iihe.ac.be

Open the tunnelled notebook in your browser by opening the url : http://localhost:PORT_NUMBER

Links

http://ipython.org/