Whirlwind tour of packages of the Scikit-HEP project at the DESY laboratory in Hamburg, Germany, 4 March 2020.
A nice rendering of the notebooks can be obtained with nbviewer at https://nbviewer.jupyter.org/github/eduardo-rodrigues/2020-03-04_DESY_Scikit-HEP_HandsOn/tree/master/.
One can straightforwardly run this notebook presentation on Binder, with no installation requirements on the user side (Be aware that the environment to set up is rather large and it may take 5 minutes for the notebooks to be up and running online.)
Just click on
Anything can be altered along the way.
Note that the notebook uses Python 3, though most packages also support Python 2 for now.
Alternatively, you may want to download the repository and play with the notebook, saving for example the plots it produces.
git clone https://github.com/eduardo-rodrigues/2020-03-04_DESY_Scikit-HEP_HandsOn.git
cd 2020-03-04_DESY_Scikit-HEP_HandsOn