The pandas 2.0 release is targeted for the first quarter of 2023. This is a major milestone for the pandas project, and this talk will start with an overview of this release. Pandas 2.0 includes some new (experimental) features, but mostly means enforcing deprecations that have been accumulated in the 1.x series, along with some necessary breaking changes.

But that doesn’t mean there are no interesting features to talk about! The main part of the presentation will showcase some new features, both already released as opt-in features or to come in future releases.
Support for non-nanosecond resolution datetimes, allowing time spans ranging over a billion of years. Improved support for nullable data types, including easy opt-in options for I/O functions. Experimental integration with pyarrow to back columns of a DataFrame (beyond the string dtype).
A major change that is under way is a change to the copy and view semantics of operations in pandas (related to the well-known (or hated) SettingWithCopyWarning). This is already available as an experimental opt-in to test and use the new behaviour, and will probably be a highlight of pandas 3.0.