JupyterLab Notebooks#

Starting the server#

The LISA shell can simplify starting an Jupyter notebook server:

[LISAShell lisa] \> lisa-jupyter start

Starting Jupyter Notebooks...

Notebook server configuration:
  URL        :  http://127.0.0.1:8888/?token=b34F8D0e457BDa570C4A6D7AF113CB45d9CcAF44Aa7Cf400
  Folder     :  /data/work/lisa/ipynb
  Logfile    :  /data/work/lisa/ipynb/server.log
  PYTHONPATH :
        /data/work/lisa/modules_root/


Notebook server task: [4] 30177

Note that the lisa-jupyter command allows you to specify interface and port in case you have several network interfaces on your host:

lisa-jupyter start [interface [port]]

The URL of the main folder served by the server is printed on the screen. By default it is http://127.0.0.1:8888/.

Once the server is started you can have a look at the provided tutorial notebooks are accessible by following this link. This initial tutorial can be seen (but not executed) also on github.

Notebooks as development environment#

Tip

To avoid having to restart the kernel and re-import LISA modules that you have changed (e.g. you’re coding some new feature and testing it out in a notebook), you can add this in the first cell of your notebook:

%load_ext autoreload
%autoreload 2

Note that this can cause a few type checking issues, but you should get an explicit error in that case.

Notebook examples#

Typical experiment#

Basic experiment running a workload and analysing the trace:

Analysis examples#

Analysis plots on a trace:

Analysis plots

Synthetic test example#

Example showing how to run one of the synthetic tests based on lisa.tests.base.TestBundle: