Pandas 3.0 debuts str dtype and Copy-on-Write for dataframes

Pandas 3.0 debuts str dtype and Copy-on-Write for dataframes

pandas 3.0 is now available, making the string data type the new default for string columns and bringing more predictable copy and view handling with Copy-on-Write. Datetime-like data now defaults to microsecond resolution, helping users avoid out-of-bounds errors associated with nanosecond defaults. The release also introduces support for the pd.col syntax and removes previously deprecated features.

by Fla

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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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