Media Summary: Enric Tejedor and Stefan Wunsch describe the new PyROOT that is the default for ROOT 6.22, with a talk and examples. Part of ... The scientific community using Python has developed several ways to accelerate Python codes. One popular technology is ... Hans Dembinski looks at the past and future of the iminuit package during the

Pyhep 2020 Tutorial On Automatic - Detailed Analysis & Overview

Enric Tejedor and Stefan Wunsch describe the new PyROOT that is the default for ROOT 6.22, with a talk and examples. Part of ... The scientific community using Python has developed several ways to accelerate Python codes. One popular technology is ... Hans Dembinski looks at the past and future of the iminuit package during the Henry Schreiner and Hans Dembinski look at the boost-histogram package during the David Straub looks at the use of Python in the HEP Theory community as part of the Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example. Part of the

Matteo Bonanomi shows how CMS high granularity calorimeter (HGCAL) test beam analysis was done using Jupyter notebooks. Uproot provides an easy way to get data from ROOT files into arrays and DataFrames, and Awkward Array lets you manipulate ... High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ... Nathan Simpson looks at what can make a physics analysis fully differentiable during the LUMIN is a deep-learning and data-analysis ecosystem for High-Energy Physics. Similar to Keras and fastai it is a wrapper ...

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PyHEP 2020 Tutorial on Automatic Differentiation
PyHEP 2020 pyhf Tutorial
PyHEP 2020 The New PyROOT
PyHEP2022 Using C++ From Numba   Fast and Automatic
PyHEP 2020 iminuit
PyHEP 2020 Boost-Histogram
PyHEP 2020 Python and HEP, a perfect match, in theory
PyHEP 2020 C and C++ Python Bindings
PyHEP 2020 HGCAL test-beam analysis with Juypiter
PyHEP 2021: Uproot and Awkward Array tutorial
pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020|  Feickert
PyHEP 2020 Physics Analysis as a Differentiable Program
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PyHEP 2020 Tutorial on Automatic Differentiation

PyHEP 2020 Tutorial on Automatic Differentiation

Lukas Heinrich introduced the concept of

PyHEP 2020 pyhf Tutorial

PyHEP 2020 pyhf Tutorial

Matthew Feickert gives a

PyHEP 2020 The New PyROOT

PyHEP 2020 The New PyROOT

Enric Tejedor and Stefan Wunsch describe the new PyROOT that is the default for ROOT 6.22, with a talk and examples. Part of ...

PyHEP2022 Using C++ From Numba   Fast and Automatic

PyHEP2022 Using C++ From Numba Fast and Automatic

The scientific community using Python has developed several ways to accelerate Python codes. One popular technology is ...

PyHEP 2020 iminuit

PyHEP 2020 iminuit

Hans Dembinski looks at the past and future of the iminuit package during the

PyHEP 2020 Boost-Histogram

PyHEP 2020 Boost-Histogram

Henry Schreiner and Hans Dembinski look at the boost-histogram package during the

PyHEP 2020 Python and HEP, a perfect match, in theory

PyHEP 2020 Python and HEP, a perfect match, in theory

David Straub looks at the use of Python in the HEP Theory community as part of the

PyHEP 2020 C and C++ Python Bindings

PyHEP 2020 C and C++ Python Bindings

Martin Schwinzerl looks at C and C++ Python bindings, using the SixTrack code as an example. Part of the

PyHEP 2020 HGCAL test-beam analysis with Juypiter

PyHEP 2020 HGCAL test-beam analysis with Juypiter

Matteo Bonanomi shows how CMS high granularity calorimeter (HGCAL) test beam analysis was done using Jupyter notebooks.

PyHEP 2021: Uproot and Awkward Array tutorial

PyHEP 2021: Uproot and Awkward Array tutorial

Uproot provides an easy way to get data from ROOT files into arrays and DataFrames, and Awkward Array lets you manipulate ...

pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020|  Feickert

pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020| Feickert

High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ...

PyHEP 2020 Physics Analysis as a Differentiable Program

PyHEP 2020 Physics Analysis as a Differentiable Program

Nathan Simpson looks at what can make a physics analysis fully differentiable during the

PyHEP 2021: Intro to LUMIN: A deep learning and data science ecosystem for high-energy physics

PyHEP 2021: Intro to LUMIN: A deep learning and data science ecosystem for high-energy physics

LUMIN is a deep-learning and data-analysis ecosystem for High-Energy Physics. Similar to Keras and fastai it is a wrapper ...