The variables are unset after the hooks have executed but before the command provided to the startup script runs. e JUPYTER_ENV_VARS_TO_UNSET=ADMIN_SECRET_1,ADMIN_SECRET_2 - Unsets specified environment variables in the default startup script. e NB_USER=jovyan - Instructs the startup script to change the default container username from jovyan to the provided value.Ĭauses the script to rename the jovyan user home folder.įor this option to take effect, you must run the container with -user root, set the working directory -w /home/$. You do so by passing arguments to the docker run command. You may instruct the start-notebook.sh script to customize the container environment before launching You can open it by following until step 4 and then clicking 'Upload' at the top right.Docker run -d -p 8888:8888 jupyter/base-notebook start-notebook.sh -NotebookApp.base_url =/some/path I put a few explanations and examples into the notebook attached.

Play around with it a bit, using python and ROOT syntax (don't forget to import ROOT).You'll also see C++ ROOT - I have not tested this yet and recommend for the students to work with python. To create a new notebook in the top right corner hit New→Python3.You are now in your afs home directory.Please just try again and report to me if this is the case. Last year it got stuck here from time to time.Jupyter Launch Modus: Classical Notebook.Primary group: Default (or choose your group).Keep in mind that many roads lead to Rome and try to advise the students accordingly. Those will contain one possible way to analyse the data, hopefully with a lot of helpful comments. * We're in the act of compiling example notebooks for you. * The programming language is python+ROOT * The data will be supplied in the form of ROOT TTrees * The two teams will perform different experiments, thus it will be two different data sets and two analysis approaches. The DESY IT runs a hub that is running on the NAF servers. We will of course keep you updated with some code examples and details on what they should be able to get out of the analysis.įixed facts on the analysis: * We will use Jupyter notebooks. There will also be a bit of a process throughout the program, since it's hard to anticipate how fast the students will be on analysing their data. Since this concerns the initial data format, we will first fix this before we'll supply you with extensive examples. On the analysis itself: We're still working on some details of the data analysis.

Root jupyter notebook tutorial