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Highlights include:
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- - ``infer_datetime_format`` keyword to ``read_csv/to_datetime`` to allow speedups for homogeneously formatted datetimes
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- - intelligently limited display precision for datetime/timedelta formats
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- - enhanced Panel :meth:`~pandas.Panel.apply` method
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- - :ref:`Tutorials<tutorials>`, a guide to community developed pandas tutorials .
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- - :ref:`Pandas Ecosystem< ecosystem>`, a guide to complementary projects built on top of pandas .
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- - :ref:`Contributing<contributing>`, a guide to how to contribute to the pandas codebase and documentation .
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- - Our new CI status page: `ScatterCI <http://scatterci.github.io/pydata/pandas>`__.
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+ - Added ``infer_datetime_format`` keyword to ``read_csv/to_datetime`` to allow speedups for homogeneously formatted datetimes
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+ - Will intelligently limit display precision for datetime/timedelta formats
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+ - Enhanced Panel :meth:`~pandas.Panel.apply` method
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+ - Suggested tutorials in new :ref:`Tutorials<tutorials>` section .
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+ - Our pandas ecosystem is growing, We now feature related project in a new :ref:`Pandas Ecosystem<ecosystem>` section .
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+ - Much work has been taking place on improving the docs, and a new :ref:`Contributing<contributing>` section has been added .
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+ - Even though it may only interest devs, we <3 our new CI status page: `ScatterCI <http://scatterci.github.io/pydata/pandas>`__.
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