Training in software and computing are essential ingredients for the success of any HEP experiment. As most experiments have similar basic prerequisites (Unix shell, Python, C++, …) we want to join our efforts and create one introductory software training curriculum that serves HEP newcomers the software skills needed as they enter the field, and in parallel, instill best practices for writing software.

The curriculum is comprised of a set of standardized modules, so that students can focus on what is most relevant to them. More about the style of these modules is written in the guidelines for training material.

The modules

Beginner level

Module	Description	Status
The Unix Shell		Created & Maintained by software carpentries
Advanced Shell	E.g. SSH
Version controlling with git		Created & Maintained by software carpentries
Advanced git
Programming with python		Created & Maintained by software carpentries
Build systems: From gcc to cmake
Basic C++
Distributed file systems and grid computing
ROOT
A simple analysis	A simple analysis using CMS open data	Created by S. Wunsch; maintained by HSF

Intermediate

Module	Description	Status
Parallel programming
Workflows & reproducability	E.g. yadage and reana
Machine learning
CI/CD	Continous integration and deployment with gitlab	Created by G. Stark; maintained by HSF

Advanced

Module	Description	Status
Documentation	sphinx, doxygen, etc.
Event generation and MC	pythia, sherpa, madgraph, etc.

Contributing

Contributions of any kind are very welcome! There are various ways you can get involved:

• Join our meetings to give feedback and discuss with us (details at our main page)
• Bugs reports or features requests: Directly open an issue on github or (even better) submit a pull request to fix things.
• Want to contribute your own module? We compiled a small list of recommendations here. Of course we always encourage you to talk to us early for a better coordination.

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