Hi, I'm pleased to announce the availability of 0.23.0rc2. This is the first public release candidate for 0.23.0. *Please try this RC and report any issues on the pandas issue tracker <https://github.com/pandas-dev/pandas/issues>. We plan to release 0.23.0 final on May 7th. This is a major release from 0.22.0 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes. Highlights include: - Round-trippable JSON format with 'table' orient <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#json-read...> - Instantiation from dicts respects order for Python 3.6+ <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#instantat...> - Dependent column arguments for assign <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#assign-ac...> - Merging / sorting on a combination of columns and index levels <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#merging-o...> - Extending Pandas with custom types <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#extending...> - Excluding unobserved categories from groupby <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#categoric...> See the full whatsnew <https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#v0-23-0> for a list of all the changes. The release candidate can be installed with conda from conda-forgel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available): conda install -c conda-forge/label/rc pandas=0.23.0rc2 Or via PyPI python3 -m pip install --pre --upgrade pandas==0.23.0rc2