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.”
“At Capital One, early implementations of Dask have reduced model training times by 91% within a few months of development effort.”
“With Dask, I can easily adapt code that runs on a single machine and scale it across an entire cluster. Very few other tools let you get going that quickly—across …
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