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BEGIN:VEVENT
DTSTAMP:20260704T115926Z
UID:e532d171-3230-4b67-b0bb-b3e896d0ee6b
DTSTART:20220518T070000Z
DTEND:20220518T103000Z
DESCRIPTION:Overview\n\nPython is an industry-standard programming language
  for working with data on all levels of the data analytics pipeline\, than
 ks to the rich ecosystem of libraries ranging from generic numerical libra
 ries to special-purpose and/or domain-specific packages which are often su
 pported by large developer communities and stable funding sources.\n\nThis
  online workshop is meant to give an overview of working with research dat
 a in Python using general libraries for storing\, processing\, analysing a
 nd sharing data. The focus is on improving performance.\n\nAfter covering 
 tools for performant processing (netcdf\, numpy\, pandas\, scipy) on singl
 e workstations the focus shifts to parallel\, distributed and GPU computin
 g (snakemake\, numba\, dask\, multiprocessing\, mpi4py).\n\nAgenda\n\nFor 
 further information and updated agenda you can visit\n \nhttps://events.p
 race-ri.eu/event/1380/
SUMMARY:[ONLINE] High Performance Data Analytics in Python @ENCCS
URL;VALUE=URI:https://events.prace-ri.eu/event/1380/
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