We are very pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes various new features, bug fixes, and performance improvements, as well as possible breaking changes. Highlights include: - Dedicated string data type by default <https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancement...> - Consistent copy/view behaviour with Copy-on-Write <https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancement...> (CoW) (a.k.a. getting rid of the SettingWithCopyWarning) - New default resolution for datetime-like data <https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-api-breakin...> - Initial support for the new pd.col syntax <https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancement...> See 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 of all the changes. The 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. In addition, as a major release, pandas 3.0 includes some breaking changes that may require updates to your code. An overview of all potentially breaking changes can be found in the Backwards incompatible API changes <https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#backwards-incompatible-a...> section of the release notes. Pandas 3.0.0 supports Python 3.11 and higher. The release can be installed from PyPI: python -m pip install --upgrade pandas==3.0.* or from conda-forge: conda install -c conda-forge pandas=3.0 Please report any issues with the release on the pandas issue tracker <https://github.com/pandas-dev/pandas/issues/new/choose>. Thanks to all the contributors who made this release possible!