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This release includes various new features, bug fixes, and performance improvements, as well as possible breaking changes. \r\n\r\nThe pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.\r\n\r\nHighlights include:\r\n\r\n- [Dedicated string data type by default](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-string-dtype)\r\n- [Consistent copy/view behaviour with Copy-on-Write](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-copy_on_write) (CoW) (a.k.a. getting rid of the SettingWithCopyWarning)\r\n- [New default resolution for datetime-like data](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-api-breaking-datetime-resolution-inference)\r\n- [Initial support for the new `pd.col` syntax](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-col)\r\n\r\nSee the [announcement blog post](https://pandas.pydata.org/community/blog/pandas-3.0.html) and the [detailed release notes](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html) for a list 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