Hi all, I'm happy to announce pandas 0.22.0 has been released. This is a major release from 0.21.1 and includes a single, API-breaking change. We recommend that all users upgrade to this version after carefully reading the release note. The only changes are: - The sum of an empty or all-*NA* Series is now 0 - The product of an empty or all-*NA* Series is now 1 - We’ve added a min_count parameter to .sum() and .prod() controlling the minimum number of valid values for the result to be valid. If fewer than min_count non-*NA* values are present, the result is *NA*. The default is 0. To return NaN, the 0.21 behavior, use min_count=1. See the pandas 0.22.0 whatsnew <https://pandas.pydata.org/pandas-docs/version/0.22.0/whatsnew.html#whatsnew-...> overview for further explanation of all the places in the library this affects. - Tom --- *What is it:* pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. *How to get it:* Source tarballs and windows/mac/linux wheels are available on PyPI (thanks to Christoph Gohlke for the Windows wheels, and to Matthew Brett for setting up the Mac / Linux wheels). Conda packages are available on the default and conda-forge channels. *Issues:* Please report any issues on our issue tracker: https://github.com/py data/pandas/issues