High Performance Data Analytics in Python

Overview

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).

Preliminary Agenda

Wednesday 18 May 2022

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Thursday 19 May 2022

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Friday 20 May 2022

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Tutors

• Qiang Li, ENCCS
• Kjartan Thor Wikfeldt, ENCCS

Registration

This event is fully booked.

For questions regarding this event, feel free to contact us at training@enccs.se.