High Performance Visualization | Parallel performance with Dask & Datashader
Interactively visualize a billion points with Dask and Datashader.
This takes an example from Anaconda (thanks @Peter Wang!) visualizing the NYC Taxi data with Dask. When we start it takes a minute to render the dataset. Then, after doing a bit of performance tuning we make this fast enough to render interactively (about a second per update). This enables us to interact live with a large dataset.
Originally given as part of the Dask tutorial at PyData NYC 2022
Materials at https://github.com/mrocklin/dask-tuto...
More reading here:
Datashader Data Visualization Performance
https://www.coiled.io/blog/datashader...
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