Скачать или смотреть Boost-histogram: High-Performance Histograms as Objects |SciPy 2020| Schreiner, Pivarski & Dembinski

Unlike arrays and tables, histograms in Python have usually been denied their
own object, and have been represented as a single operation producing several
arrays. Boost-histogram is a new Python library that provides Histograms that
can be filled, manipulated, sliced, and projected as objects. Building on top
of the Boost libraries' Histogram in C++14 provided interesting and
distribution and design challenges with useful solutions. This is meant to be a
foundation that others can build on; in the Scikit-HEP project, a physicist
friendly front-end "Hist" and a conversion package "Aghast" are already being
designed around boost-histogram.
0:00 Introduction
3:18 Basics
10:28 Design
15:17 Flexibility
19:49 Performance
21:49 Distribution
26:13 Scikit-HEP ecosystem
29:03 Summary

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