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DOC: Add tutorial link
Author: Tom Augspurger <[email protected]> Closes #13045 from TomAugspurger/TomAugspurger-tutorial and squashes the following commits: 23d3835 [Tom Augspurger] DOC: Add tutorial link
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doc/source/tutorials.rst

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@@ -123,6 +123,17 @@ There are four sections covering selected topics as follows:
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- `Time Series <http://wavedatalab.github.io/datawithpython/timeseries.html>`_
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.. _tutorial-modern:
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Modern Pandas
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-------------
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- `Modern Pandas <http://tomaugspurger.github.io/modern-1.html>`_
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- `Method Chaining <http://tomaugspurger.github.io/method-chaining.html>`_
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- `Indexes <http://tomaugspurger.github.io/modern-3-indexes.html>`_
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- `Performance <http://tomaugspurger.github.io/modern-4-performance.html>`_
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- `Tidy Data <http://tomaugspurger.github.io/modern-5-tidy.html>`_
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- `Visualization <http://tomaugspurger.github.io/modern-6-visualization.html>`_
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Excel charts with pandas, vincent and xlsxwriter
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------------------------------------------------

doc/source/whatsnew/v0.18.1.txt

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- Custom business hour offset, see :ref:`here <whatsnew_0181.enhancements.custombusinesshour>`.
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- Many bug fixes in the handling of ``sparse``, see :ref:`here <whatsnew_0181.sparse>`
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- Method chaining improvements, see :ref:`here <whatsnew_0181.enhancements.method_chain>`.
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- Expanded the Tutorials :ref:`documentation <tutorial-modern>` with another `series`_ , courtesy of @TomAugsburger. (:issue:`13045`).
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.. contents:: What's new in v0.18.1
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- ``.to_json()`` now supports ``NDFrames`` that contain categorical and sparse data (:issue:`10778`)
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- ``interpolate()`` now supports ``method='akima'`` (:issue:`7588`).
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- ``pd.read_excel()`` now accepts path objects (e.g. ``pathlib.Path``, ``py.path.local``) for the file path, in line with other ``read_*`` functions (:issue:`12655`)
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- ``Index.take`` now handles ``allow_fill`` and ``fill_value`` consistently (:issue:`12631`)
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- Added ``.weekday_name`` property as a component to ``DatetimeIndex`` and the ``.dt`` accessor. (:issue:`11128`)
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- ``Index.take`` now handles ``allow_fill`` and ``fill_value`` consistently (:issue:`12631`)
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.. ipython:: python
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.. ipython:: python
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idx = pd.Index([1., 2., 3., 4.], dtype='float')
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idx.take([2, -1]) # default, allow_fill=True, fill_value=None
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idx.take([2, -1], fill_value=True)
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idx = pd.Index([1., 2., 3., 4.], dtype='float')
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idx.take([2, -1]) # default, allow_fill=True, fill_value=None
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idx.take([2, -1], fill_value=True)
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- ``Index`` now supports ``.str.get_dummies()`` which returns ``MultiIndex``, see :ref:`Creating Indicator Variables <text.indicator>` (:issue:`10008`, :issue:`10103`)
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.. ipython:: python
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.. ipython:: python
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idx = pd.Index(['a|b', 'a|c', 'b|c'])
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idx.str.get_dummies('|')
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idx = pd.Index(['a|b', 'a|c', 'b|c'])
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idx.str.get_dummies('|')
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- ``pd.crosstab()`` has gained a ``normalize`` argument for normalizing frequency tables (:issue:`12569`). Examples in the updated docs :ref:`here <reshaping.crosstabulations>`.
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- ``.resample(..).interpolate()`` is now supported (:issue:`12925`)
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.. _series: http://tomaugspurger.github.io/modern-1.html
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.. _whatsnew_0181.sparse:
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