pandas
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Python library for data analysis and manipulation

https://pandas.pydata.org
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The pandas team is pleased to announce the release of pandas 1.4.0.

You can install it via pip install pandas or mamba install pandas.

Full release notes are available at: https://pandas.pydata.org/pandas-docs/version/1.4/whatsnew/v1.4.0.html
Work has started to support non-nanosecond resultion dates in pandas.

Currently, pandas can represent dates around the year interval 1680 ~ 2260. An exception is raised if dates outside of this range are used.

When the new changes are released (probably at the end of this year), pandas will be able to represent billions of years from now into the past or the future, with a precision of seconds.
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We just released pandas 1.4.2 a bug fix release of the 1.4 series. We recommend all users using pandas 1.4 to upgrade.

It can be installed via pip and from conda-forge.

Full release notes available here.