[Pandas-dev] ANN: Pandas 1.0.0

[Tom Augspurger]

Hi all,

I'm pleased to announce the release of pandas 1.0.0. This is a major
release from 0.25.3, and includes a number of API changes, new features,
enhancements, and performance improvements along with a large number of bug
fixes.

Highlights include

   - A redesigned website and documentation theme
   - Using Numba in rolling.apply
   <https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html#using-numba-in-rolling-apply-and-expanding-apply>
   - A new DataFrame method for converting to Markdown
   <https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html#converting-to-markdown>
   - A new scalar for missing values
   <https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html#experimental-na-scalar-to-denote-missing-values>
   - Dedicated extension types for string
   <https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html#dedicated-string-data-type>
   and
   nullable boolean
   <https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html#boolean-data-type-with-missing-values-support>
   data

See the whatsnew
<https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.html>
for a list of all the changes. We've also written a blog post
<https://dev.pandas.io/pandas-blog/pandas-10.html> reflecting on the
journey to 1.0 and what it means for our project.

The release can be installed from PyPI

python -m pip install --upgrade pandas

Or with conda from the defaults or conda-forge channels.

conda install pandas

Thanks to the more than 300 contributors
<https://pandas.pydata.org/pandas-docs/version/1.0/whatsnew/v1.0.0.html#contributors>
to this release.  Please report any issues with the release on the pandas
issue tracker. <https://github.com/pandas-dev/pandas/issues>

Tom
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