In this episode I speak about data transformation frameworks available for the data scientist who writes Python code.

In this episode I explain the frameworks that are the best equivalent to Pandas in bigdata contexts.

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Pandas a fast, powerful, flexible and easy to use open source data analysis and manipulation tool - https://pandas.pydata.org/

Modin - Scale your pandas workflows by changing one line of code - https://github.com/modin-project/modin

Dask advanced parallelism for analytics https://dask.org/

Ray is a fast and simple framework for building and running distributed applications https://github.com/ray-project/ray

RAPIDS - GPU data science https://rapids.ai/