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SUMMARY:Shell\, Git\, R for Reproducible Scientific Analysis
DTSTART;VALUE=DATE:20261207
DTEND;VALUE=DATE:20261211
DTSTAMP:20261103T121402Z
UID:f88cc3f6360445f6a42bd72ca6171d10@www.hpc.uni-bonn.de
CREATED:20240812T144911Z
DESCRIPTION:This in-person workshop will take place over 4 days (Dec. 7-10
 ) and will enable you to develop scientific software with R.\n\nIt will ta
 ke place at the FTD building (Campus Poppelsdorf).\n\nThe topics slightly 
 overlap some of our other courses\, but this course follows the Carpentrie
 s method\, which is considered a more interactive presentation format. \n
 \nMore info on the Carpentries: https://carpentries.org/about-us/\n\nFeel 
 free to attend this course instead of our regular ones.\n\nTopics:\n\n- Da
 y 1: Unix Shell - how to navigate Linux and write shell scripts\n- Day 2: 
 Git - How to work with Git\, Github and collaborate\n- Day 3: R - RStudio
 \, the R language and basic data structures\n- Day 4: R - Plotting and oth
 er essential libraries\n\nSee detailed course topics here: https://kferchi
 chi.github.io/2026-12-07-hpc-bonn/\n\nFeel free to contact training@hpc.un
 i-bonn.de if you have questions.
LAST-MODIFIED:20261028T161214Z
URL:https://www.hpc.uni-bonn.de/en/events/shell-git-r-reproducible-analysi
 s
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