Python 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.
This 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).
To be updated soon.
Registrations are now closed for this event.
This 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_e