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DTSTART;TZID=Europe/Stockholm:20220518T090000
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DTSTAMP:20260421T180423
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SUMMARY:High Performance Data Analytics in Python
DESCRIPTION:Overview\nPython is an industry-standard programming language for working with data on all levels of the data analytics pipeline\, thanks to the rich ecosystem of libraries ranging from generic numerical libraries to special-purpose and/or domain-specific packages which are often supported by large developer communities and stable funding sources. \nThis online workshop is meant to give an overview of working with research data in Python using general libraries for storing\, processing\, analysing and sharing data. The focus is on improving performance. After covering tools for performant processing (netcdf\, numpy\, pandas\, scipy) on single workstations the focus shifts to parallel\, distributed and GPU computing (snakemake\, numba\, dask\, multiprocessing\, mpi4py). \nPreliminary Agenda\nWednesday 18 May 2022 \n[ninja_tables id=”14561″] \nThursday 19 May 2022 \n[ninja_tables id=”14562″] \nFriday 20 May 2022 \n[ninja_tables id=”14563″] \nTutors\n\nQiang Li\, ENCCS\nKjartan Thor Wikfeldt\, ENCCS\n\nRegistration\nThis event is fully booked. \nFor questions regarding this event\, feel free to contact us at training@enccs.se. \n\n\n\nThis training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 here https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_en
URL:https://enccs.se/events/2022-05-hpda-python/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/03/HPDA-python-workshop-36.jpg
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