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PyHEP 2020 mplhep
PyHEP 2020 High Performance Python
PyHEP 2020 C and C++ Python Bindings
PyHEP 2021: CUDA and Python with Numba
PyCaret: Amazing AutoML Library (Supports GPU and Intellex)بالعربي
PyHEP 2021: Powerful Python Packaging for Scientific Codes
PyHEP 2020 Boost-Histogram
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Python on GPU: CuPy Tutorial for Scientific Computing (Part I)
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Last Updated: October 27, 2026
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Summary
Adrian Oeftiger shows how to use Joosep Pata's talk on jagged physics data analysis with numba, awkward and uproot on a Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the Data volumes and computational complexity of analysis techniques have increased, but the need to quickly explore data and ... Andrzej Novak describes the mplhep Henry Schreiner gives a tutorial for High Performance Martin Schwinzerl looks at C and C++ Numba is a Just-in-Time (JIT) compiler for making This talk will cover the the best practices of making a highly compatible and installable Henry Schreiner and Hans Dembinski look at the boost-histogram package during the Git gud at coding for FREE with Scrimba scrimba.com/courses:free?via=codehead (and save 20% on Pro plans with my ...