Welcome to the online workshop on High Performance Data Analytics in Python on Jan. 21-23 (2025). Python is a modern, object-oriented, and industry-standard programming language for working with data on all levels of the data analytics pipeline. A rich ecosystem of libraries ranging from generic numerical libraries to special-purpose and/or domain-specific packages has been developing using Python for data analysis and scientific computing.
This three half-day online workshop is meant to give an overview of working with research data in Python using general libraries for storing, processing, analyzing 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).
High-Performance Data Analytics in Python is for all researchers and engineers who work with large or small datasets and who want to learn powerful tools and best practices for writing more performant, parallelised, robust, and reproducible data analysis pipelines. This workshop is an interactive online event, featuring live coding, demos, and practical exercises. We aim to equip you with the tools and knowledge to write efficient, high-performance code using Python.
After attending the workshop, you should:
Time | Contents | |
---|---|---|
Day 1 (Jan. 21) | Welcome | |
09:10-09:20 | Motivation | |
09:20-10:00 | Scientific data | |
10:00-10:20 | Break | |
10:20-11:00 | Efficient array computing | |
11:00-11:20 | Break | |
11:20-12:00 | Efficient array computing | |
Day 2 (Jan. 22) | 09:00-09:40 | Parallel computing |
09:40-09:50 | Break | |
09:50-10:20 | Parallel computing | |
10:20-10:40 | Break | |
10:40-11:20 | Profiling and optimizing | |
11:20-11:30 | Break | |
11:30-12:00 | Profiling and optimizing | |
Day 3 (Jan. 23) | 09:00-09:40 | Performance boosting |
09:40-09:50 | Break | |
09:50-10:20 | Performance boosting | |
10:20-10:40 | Break | |
10:40-11:20 | Dask for scalable analytics | |
11:20-11:30 | Break | |
11:30-12:00 | Dask for scalable analytics |
Check out more upcoming events from ENCCS and our European network at https://enccs.se/events.
For questions regarding this workshop or general questions about ENNCS training events, please contact training@enccs.se
To ensure that everyone has the opportunity to participate, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering.
Please send us an email at training@enccs.se to cancel your attendance.
We understand things can change, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists.
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This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries ass