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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.
“I used to work in Spark all the time. The sooner you move to Dask, the sooner you’ll be grateful you did.”
“My climate science research has been made possible by Dask. Dask integrates seamlessly with Xarray, making it easy to run large-scale computations on multi-dimensional datasets. I can focus on my …
“Dask has been a trailblazer in making distributed and out-of-memory computing in Python easy and accessible for everyone.”
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