The Munich Center for Machine Learning (MCML) is organizing a 5-day workshop on computational reproducibility and scientific computing for R and Python users. The in-person workshop is designed to provide a balanced mix of theoretical background and practical skills with lecture-style morning sessions and hands-on tutorials in the afternoon. Topics covered include writing reproducible manuscripts for small-scale data analysis projects, high performance computing (HPC) for large-scale projects, and packaging and software development. Details of the workshop Who: Primary target group are PhD students, but the workshop is open to all researchers and students meeting the prerequisites (listed on the homepage linked below) When: We-Fr, 25.09. - 27.09. & Mo-Tu, 30.09. - 01.10. If it is organizationally feasible, we will try to enable participation on individual days. Where: Munich, in-person, Location/Room TBD What: Topics include computational reproducibility, HPC, Packaging, CI/CD; both for R and Python users How: Lecture-style morning sessions, hands-on tutorials in the afternoons You can find a detailed program and more information on the workshop, the prerequisites and the registration process on the workshop website: https://sites.google.com/view/mcml-ws-repro-compute/home To attend, please register by 6 September 2024, 23:59 CEST: https://forms.gle/w6E9jNgzHCjH9bXAA. Seats will be given on a first-register, first-serve basis. (We reserve the right to reject applicants who do not meet our minimum coding experience requirements.) Best wishes Martin Binder, MCML Open Source and Open Data Transfer Coordinator Moritz Herrmann, MCML Reproducibility and Open Science Transfer Coordinator -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator Website: https://www.osc.lmu.de<https://www.osc.lmu.de/> Mailing list: https://lists.lrz.de/mailman/listinfo/lmu-osc Computing skill self-paced tutorials: https://github.com/lmu-osc Workshops material: https://osf.io/zjrhu/ Bluesky: https://bsky.app/profile/lmu-osc.bsky.social LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc Twitter: https://twitter.com/lmu_osc Summer School: https://osip.mpdl.mpg.de/lmu-mpg-open-science-summer-school-2024/ [SS24_lectures]
