Overview Notes: Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example. Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods.
Pyhep 2020 Boost Histogram - Helpful Context for Readers
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Helpful Context for Readers
Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by The main uproot developer, Jim Pivarski, walks thought a tutorial and answers many questions as part of the
General Core Points
Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example. Andrzej Novak describes the mplhep library for adding standard HEP plot styles to MatplotLib during the
Source Checks
Andrzej Novak describes the mplhep library for adding standard HEP plot styles to MatplotLib during the This video is part of the course SOR1020 Introduction to probability and statistics.
General Practical Context
This part keeps Pyhep 2020 Boost Histogram connected to practical references instead of leaving it as a single isolated phrase.
Quick reference points
- Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by
- The main uproot developer, Jim Pivarski, walks thought a tutorial and answers many questions as part of the
- Andrzej Novak describes the mplhep library for adding standard HEP plot styles to MatplotLib during the
- This video is part of the course SOR1020 Introduction to probability and statistics.
- Henry Schreiner gives a tutorial for High Performance Python as part of the
- Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example.
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