HSF Training Events

The following events were directly organized by HSF or supported by HSF:

• 13 Nov - 14 Nov 2023 - HSF/IRIS-HEP Software Basics Training (Virtual)

• 6 Nov - 9 Nov 2023 - JuliaHEP 2023 Workshop

• 29 Aug - 1 Sep 2023 - 8th HEP C++ Course and Hands-on Training - The Essentials @ Manchester

• 13 Jul - 14 Jul 2023 - HSF/IRIS-HEP Software Basics Training (Virtual)

• 12 Jul - 12 Jul 2023 - HSF/IRIS-HEP Python for Analysis Training (Virtual)

• 18 May - 19 May 2023 - HSF/IRIS-HEP Software Basics Training (Virtual)

• 15 May - 17 May 2023 - 7th HEP C++ Course and Hands-on Training - The Essentials @ JLAB

• 6 Mar - 10 Mar 2023 - 6th HEP C++ Course and Hands-on Training - The Essentials

• 16 Jan - 20 Jan 2023 - Analysis Preservation Workshop

• 11 Oct - 13 Oct 2022 - 5th HEP C++ Course and Hands-on Training - Advanced C++

• 28 Sep - 30 Sep 2022 - HSF/IRIS-HEP Software Basics Training

• 13 Jul - 15 Jul 2022 - Software Carpentry (Virtual)

• 21 Apr - 22 Apr 2022 - Matplotlib Training (Virtual)

• 28 Mar - 30 Mar 2022 - Software Carpentry (Virtual)

• 13 Dec - 15 Dec 2021 - Software Carpentry (Virtual)

• 25 Aug - 27 Aug 2021 - Software Carpentry (Virtual)

• 16 Feb - 20 Feb 2021 - GitHub CI/CD Training

• 22 Jan - 22 Jan 2021 - HSF Training Hackathon Follow-up

• 18 Jan - 22 Jan 2021 - 2nd HEP C++ Course and Hands-on Training

• 16 Dec - 18 Dec 2020 - HSF Training Hackathon

• 2 Nov - 9 Nov 2020 - ML + GPU Training

• 12 Oct - 16 Oct 2020 - C++ Course and Hands-on Training

• 27 Jul - 30 Jul 2020 - Virtual Docker Training

• 6 Jul - 10 Jul 2020 - OSG User School 2020

• 2 Jun - 4 Jun 2020 - Virtual Pipelines Training

• 28 Apr - 30 Apr 2020 - Alpaka Parallel Programming - Advanced Training Hackathon

• 27 Apr - 27 Apr 2020 - Alpaka Parallel Programming - Taster Session and Basic Tutorial

• 24 Mar - 27 Mar 2020 - Software Carpentry at CERN [POSTPONED/CANCELLED]

• 21 Jan - 25 Feb 2020 - CSU Summer Student Computing/Analysis Training 2020

• 22 Jul - 26 Jul 2019 - CoDaS-HEP School (Computational and Data Science Training for High Energy Physics) at Princeton University