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Scaling Pandas to Handle More Data Faster: Comparing Dask, Ray, Modin, Vaex, and RAPIDS

Updated: Feb 18, 2021

Scaling Pandas to Handle More Data Faster: Comparing Dask, Ray, Modin, Vaex, and RAPIDS


Process more data quicker using CPU's, GPU's, clusters, lazy evaluation, and memory mapping.


Also see

Modin: Scale your pandas workflow by changing a single line of code


Modin GitHub

NOTE: You should only start looking into the libraries discussed here once you’ve reached the limitations of Python and Pandas on their own.


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