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).
The workshop will be streamed via Twitch so that anyone may follow along without registration. However, ENCCS is hosting a Zoom room with expert helpers who will organise breakout rooms and provide hands-on assistance during exercise sessions.
ENCCS and SciLifeLab are organising a webinar giving an intro on GPU programming in Python and Julia. This event is part of the Tools for AI/ML research in life sciences. Practical information Title: Practical intro to GPU programming in Python & JuliaSpeaker: Yonglei Wang, PhD, Training Coordinator and Research Software Engineer and HPC application expert at ENCCSAbstract: Availability of […]
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and its associated countries .
