Training materials
Browse HEP training materials from the HEP Training catalogue.
Scoped to the CERN EOSC Node Space.
3 materials found
Intermediate
A set of examples for CERN SWAN a Service for Web based ANalysis. With SWAN you can: - Analyse data without the need to install any software - Access via Jupyter notebook interface or a shell from the browser - Use CERNBOX as your home directory and synchronise your local user space with the cloud storage - Access LCG and experiments' software on CVMFS - Share your work with your colleagues thanks to CERNBox - Document and preserve science - create catalogues of analyses: encourage reproducible studies and learning by example
Intermediate
Hadoop Tutorials The Hadoop ecosystem is the leading opensource platform for distributed storage and processing of "big data". The Hadoop platform is available at CERN as a central service provided by the IT department. These tutorials organized by the IT Hadoop service, aims to introduce the main concepts about Hadoop technology in a practical way and is targeted to those who would like to start using the service for distributed parallel data processing. Attendees will have the possibility to access a test Hadoop system where they will be able to perform hands-on exercises. Instructions will be provided by the speakers. To facilitate the preparation of the test environment, please register if you plan to attend. [alt text] (https://cern.ch/swanserver/cgi-bin/go?projurl=https://github.com/prasanthkothuri/hadoop-tutorials-2016.git)
Intermediate
SWAN training material Physics Analysis Use Case The notebooks in this folder guide through an examplary analysis producing a dimuon spectrum from CMS Open Data, both in C++ and Python. The tools used for the analysis include ROOT's RDataFrame and graphics, numpy, pandas and matplotlib, all of them available in SWAN via the LCG releases on CVMFS. This material is based on the analysis done by Stefan Wunsch, available here in CERN's Open Data portal