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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