Dask is lightweight, and runs your raw code on your machines without getting in the way. No virtualization or compilers. As the Python stack matures your code matures. Today Dask is 50% faster than Spark on standard benchmarks.
“Dask also makes it easy to deploy distributed work locally using multiple Python processes in a way that is nearly identical to how full production load is distributed.”
“Dask has transformed how the world interacts with weather, climate, and geospatial data by making it super easy to scale up data processing pipelines on HPC or cloud. Things that …
“At Capital One, early implementations of Dask have reduced model training times by 91% within a few months of development effort.”
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