Media Summary: Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the This hands-on workshop will teach you how to profile and optimize Ian Ozsvald At EuroPython 2011 I ran a very hands-on tutorial for

Pyhep 2020 High Performance Python - Detailed Analysis & Overview

Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the This hands-on workshop will teach you how to profile and optimize Ian Ozsvald At EuroPython 2011 I ran a very hands-on tutorial for The main uproot developer, Jim Pivarski, walks thought a tutorial and answers many questions as part of the Travis Oliphant In this tutorial, I will cover how to write very fast Henry Schreiner and Hans Dembinski look at the boost-histogram package during the

Adrian Oeftiger shows how to use GPU binding libraries for Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by boost-histogram. Code demonstrations from a short course on rare event simulation. Course materials (and Jupyter notebooks) at ...

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PyHEP 2020 High Performance Python
PyHEP 2020 pyhf Tutorial
High Performance Python; Improving Code Efficiency and Performance
PyHPC Keynote 2020 - Reprising the Zen of Python for High Performance Computing
High Performance Python - Gus Cavanaugh | PyData Global 2021
High Performance Python I
PyHEP 2020 Uproot Tutorial
PyHEP 2020 Python and HEP, a perfect match, in theory
High Performance Python II
PyHEP 2020 Boost-Histogram
PyHEP 2020 Nanoevents Demo
PyHEP 2021: Level-up your Python (Part I)
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PyHEP 2020 High Performance Python

PyHEP 2020 High Performance Python

Henry Schreiner gives a tutorial for

PyHEP 2020 pyhf Tutorial

PyHEP 2020 pyhf Tutorial

Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the

Sponsored
High Performance Python; Improving Code Efficiency and Performance

High Performance Python; Improving Code Efficiency and Performance

This hands-on workshop will teach you how to profile and optimize

PyHPC Keynote 2020 - Reprising the Zen of Python for High Performance Computing

PyHPC Keynote 2020 - Reprising the Zen of Python for High Performance Computing

Keynote talk presented at PyHPC

High Performance Python - Gus Cavanaugh | PyData Global 2021

High Performance Python - Gus Cavanaugh | PyData Global 2021

High Performance Python

Sponsored
High Performance Python I

High Performance Python I

Ian Ozsvald At EuroPython 2011 I ran a very hands-on tutorial for

PyHEP 2020 Uproot Tutorial

PyHEP 2020 Uproot Tutorial

The main uproot developer, Jim Pivarski, walks thought a tutorial and answers many questions as part of 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

High Performance Python II

High Performance Python II

Travis Oliphant In this tutorial, I will cover how to write very fast

PyHEP 2020 Boost-Histogram

PyHEP 2020 Boost-Histogram

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

PyHEP 2020 Nanoevents Demo

PyHEP 2020 Nanoevents Demo

The

PyHEP 2021: Level-up your Python (Part I)

PyHEP 2021: Level-up your Python (Part I)

This is a short course in intermediate

PyHEP 2020 C and C++ Python Bindings

PyHEP 2020 C and C++ Python Bindings

Martin Schwinzerl looks at C and C++

High Performance Python  Track Q&A | SciPy 2020

High Performance Python Track Q&A | SciPy 2020

Join the presenters from the SciPy

PyHEP 2020 Python GPU Libraries

PyHEP 2020 Python GPU Libraries

Adrian Oeftiger shows how to use GPU binding libraries for

PyHEP 2021: High-Performance Histogramming for HEP Analysis

PyHEP 2021: High-Performance Histogramming for HEP Analysis

Recent developments in Scikit-HEP libraries have enabled fast, efficient histogramming powered by boost-histogram.

PyHEP 2021: Tuesday 6th July

PyHEP 2021: Tuesday 6th July

Day 2 of the

High-performance Python

High-performance Python

Code demonstrations from a short course on rare event simulation. Course materials (and Jupyter notebooks) at ...

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