Hi, I'm pleased to announce the availability pandas 0.21.0. This is a major release from 0.20.3 and includes a number of API changes, deprecations, new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. Highlights include: - Integration with Apache Parquet <https://parquet.apache.org>, including a new top-level read_parquet <http://pandas.pydata.org/pandas-docs/version/0.21/generated/pandas.read_parq...> function and a DataFrame.to_parquet <http://pandas.pydata.org/pandas-docs/version/0.21/generated/pandas.DataFrame...> method, see here <http://pandas.pydata.org/pandas-docs/version/0.21/io.html#io-parquet>. - New user-facing dtype pandas.api.types.CategoricalDtype <http://pandas.pydata.org/pandas-docs/version/0.21/generated/pandas.api.types...> for specifying categoricals independent of the data, see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> . - The behavior of sum and prod on all-NaN Series/DataFrames is now consistent and no longer depends on whether bottleneck <https://kwgoodman.github.io/bottleneck-doc/> is installed, see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> . - Compatibility fixes for pypy, see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> . - Additions to the drop, reindex, and rename API to make them more consistent, see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> - Addition of the new methods DataFrame.infer_objects (see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...>) and GroupBy.pipe (see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> ). - Indexing with a list of labels, where one or more of the labels is missing, is deprecated and will raise a KeyError in a future version, see here <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-021...> . Check the whatsnew <https://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html> for detailed changes, including backwards incompatible changes <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#backwards-in...> and deprecations <http://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-019...>. Please report any issues you find on the pandas issue tracker <https://github.com/pandas-dev/pandas>. Binary packages will be available in the defaults and conda-forge channels shortly. conda install pandas Wheels and a source distribution are available on PyPI. pip install --upgrade pip setuptools pip install --upgrade --upgrade-strategy=only-if-needed pandas Tom