July 17, 2020 Presentation Open Access

Schreiner, Henry Fredrick; Dembinski, Hans Peter

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    "description": "<p>The boost-histogram library provides first-class histogram objects in Python. You can compose axes and a storage to fit almost any problem. You can fill, manipulate, slice, and project then, and pass them between other Scikit-HEP libraries like Uproot4, mplhep, and histoprint. Boost-histogram is meant to be the &quot;NumPy&quot; of histogram libraries that others can build on; the &quot;pandas&quot; of histograms is &quot;Hist&quot;, a physicist friendly front-end that extends and expands boost-histogram to do plotting and more. An early version of Hist is shown for the first time here.</p>", 
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