I am pleased to announce the release of pybind11 2.6.0! This is the largest
release since 2.2 (released over three years ago). I would like to highlight
some of the key changes below; be sure to check out the changelog and
upgrade guide for more information! The focus of this release was
stability, packaging, and supporting more platforms, though there are a lot of
small features and useful additions, covered by newly expanded docs.
Posted on December 13, 2019
(Last modified on March 20, 2020)
| Henry Schreiner
The foundational histogramming package for Python, boost-histogram, hit
beta status with version 0.6! This is a major update to the new
Boost.Histogram bindings. Since I have not written about boost-histogram
yet here, I will introduce the library in its current state. Version 0.6.2 was
based on the recently released Boost C++ Libraries1.72
Histogram package. Feel free to visit the docs, or keep
reading this post.
This Python library is part of a larger picture in the Scikit-HEP ecosystem
of tools for Particle Physics and is funded by DIANA/HEP and IRIS-HEP.
It is the core library for making and manipulating histograms. Other packages
are under development to provide a complete set of tools to work with and
visualize histograms. The Aghast package is designed to convert between
popular histogram formats, and the Hist package will be designed to make common
analysis tasks simple, like plotting via tools such as the mplhep package.
Hist and Aghast will be initially driven by HEP (High Energy Physics and
Particle Physics) needs, but outside issues and contributions are welcome and
encouraged.
This was originally given as a PyHEP 2018 talk, It is designed to be interactive, and can be run in SWAN if you have a CERN account. If you want to run it manually, just download the repository: github.com/henryiii/pybindings_cc. It is easy to run in Anaconda.