Statistics studies and exercises based on Mauro's lectures and HEP stuff in general.
$ conda env create -f environment.yml
or
$ mamba env create -f environment.yml
N.B.: zfit might cause some problems due to dependency on tensorflow. If so:
$ conda install -c anaconda pip
$ pip install zfit --upgrade
mamba install -c conda-forge ipywidgets
mamba install -c conda-forge ipympl
mamba install nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib
jupyter nbextension enable --py widgetsnbextension
The idea consists in running the Combine long exercise and implement every step also with a different Python package (zfit, pyhf, even something in Julia) to show how easier and clear it is, understand what happens and compare the performance.