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PDEP-13: The Pandas Logical Type System
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - pandas-dev/pandas
Starting back in version 0.23.0, pandas introduced Extension types, which it also began to use internally as a way of creating arrays instead of exclusively relying upon NumPy. Over the course of the 1.x releases, pandas began using pyarrow for string storage and in version 1.5.0 introduced the high level pd.ArrowDtype wrapper. Another reason is that Arrow represents the fastest growing ecosystem of tooling, and the PDEP author believes improving pandas's interoperability within that landscape is extremely important.
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