Exploring Pyhep 2020 Boost Histogram
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- Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by
- Andrzej Novak describes the mplhep library for adding standard HEP plot styles to MatplotLib during the
- The main uproot developer, Jim Pivarski, walks thought a tutorial and answers many questions as part of the
- Histograms
- Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example. Part of the
In-Depth Information on Pyhep 2020 Boost Histogram
Henry Schreiner and Hans Dembinski look at the Unlike arrays and tables, Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the Henry Schreiner gives a tutorial for High Performance Python as part of the
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