A short introduction to the hep_tables work, a nice interface in python to hierarchical data
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by bo...
This presentation will highlight the socio-economic elements of Python. Considering the social diffe...
Hepunits is a Python library for units and constants in the HEP system of units.If you use this soft...
A personal view on the Python ecosystem in HEP data analysis by a PhD student.</p
An overview of Python histogramming packages and presentation of boost-histogram
Distribution of Python for the HEP environment: general points with specific examples from the LHCb ...
Overview of the Scikit-HEP project, a community project providing a toolset of Python packages for p...
Array operations are one of the most concise ways of expressing common filtering and simple aggregat...
Array operations are one of the most concise ways of expressing common filtering and simple aggregat...
Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of ob...
pyhepmc is a Pythonic frontend for the HepMC3 library and part of Scikit-HEP. It allows one to read/...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
With thousands of new members joining the HEP community every year, it is of paramount importance to...
In the last stages of data analysis, physicists are often forced to choose between simplicity and ex...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by bo...
This presentation will highlight the socio-economic elements of Python. Considering the social diffe...
Hepunits is a Python library for units and constants in the HEP system of units.If you use this soft...
A personal view on the Python ecosystem in HEP data analysis by a PhD student.</p
An overview of Python histogramming packages and presentation of boost-histogram
Distribution of Python for the HEP environment: general points with specific examples from the LHCb ...
Overview of the Scikit-HEP project, a community project providing a toolset of Python packages for p...
Array operations are one of the most concise ways of expressing common filtering and simple aggregat...
Array operations are one of the most concise ways of expressing common filtering and simple aggregat...
Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of ob...
pyhepmc is a Pythonic frontend for the HepMC3 library and part of Scikit-HEP. It allows one to read/...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
With thousands of new members joining the HEP community every year, it is of paramount importance to...
In the last stages of data analysis, physicists are often forced to choose between simplicity and ex...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by bo...
This presentation will highlight the socio-economic elements of Python. Considering the social diffe...