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+Quickstart
+==========
+
+Displaying Tabular Data
+-----------------------
+
+
+The Basics
+++++++++++
+
+CLI Helpers provides a simple way to display your tabular data (columns/rows) in a visually-appealing manner::
+
+    >>> from cli_helpers import tabular_output
+
+    >>> data = [[1, 'Asgard', True], [2, 'Camelot', False], [3, 'El Dorado', True]]
+    >>> headers = ['id', 'city', 'visited']
+
+    >>> print("\n".join(tabular_output.format_output(iter(data), headers, format_name='simple')))
+
+      id  city       visited
+    ----  ---------  ---------
+       1  Asgard     True
+       2  Camelot    False
+       3  El Dorado  True
+
+Let's take a look at what we did there.
+
+1. We imported the :mod:`~cli_helpers.tabular_output` module. This module gives us access to the :func:`~cli_helpers.tabular_output.format_output` function.
+
+2. Next we generate some data. Plus, we need a list of headers to give our data some context.
+
+3. We format the output using the display format ``simple``. That's a nice looking table!
+
+
+Display Formats
++++++++++++++++
+
+To display your data, :mod:`~cli_helpers.tabular_output` uses
+`tabulate <https://bitbucket.org/astanin/python-tabulate>`_,
+`terminaltables <https://robpol86.github.io/terminaltables/>`_, :mod:`csv`,
+and its own vertical table layout.
+
+The best way to see the various display formats is to use the
+:class:`~cli_helpers.tabular_output.TabularOutputFormatter` class. This is
+what the :func:`~cli_helpers.tabular_output.format_output` function in our
+first example uses behind the scenes.
+
+Let's get a list of all the supported format names::
+
+    >>> from cli_helpers.tabular_output import TabularOutputFormatter
+    >>> formatter = TabularOutputFormatter()
+    >>> formatter.supported_formats
+    ('vertical', 'csv', 'tsv', 'mediawiki', 'html', 'latex', 'latex_booktabs', 'textile', 'moinmoin', 'jira', 'plain', 'minimal', 'simple', 'grid', 'fancy_grid', 'pipe', 'orgtbl', 'psql', 'psql_unicode', 'rst', 'ascii', 'double', 'github')
+
+You can format your data in any of those supported formats. Let's take the
+same data from our first example and put it in the ``fancy_grid`` format::
+
+    >>> data = [[1, 'Asgard', True], [2, 'Camelot', False], [3, 'El Dorado', True]]
+    >>> headers = ['id', 'city', 'visited']
+    >>> print("\n".join(formatter.format_output(iter(data), headers, format_name='fancy_grid')))
+    ╒══════╤═══════════╤═══════════╕
+    │   id │ city      │ visited   │
+    ╞══════╪═══════════╪═══════════╡
+    │    1 │ Asgard    │ True      │
+    ├──────┼───────────┼───────────┤
+    │    2 │ Camelot   │ False     │
+    ├──────┼───────────┼───────────┤
+    │    3 │ El Dorado │ True      │
+    ╘══════╧═══════════╧═══════════╛
+
+That was easy! How about CLI Helper's vertical table layout?
+
+    >>> print("\n".join(formatter.format_output(iter(data), headers, format_name='vertical')))
+    ***************************[ 1. row ]***************************
+    id      | 1
+    city    | Asgard
+    visited | True
+    ***************************[ 2. row ]***************************
+    id      | 2
+    city    | Camelot
+    visited | False
+    ***************************[ 3. row ]***************************
+    id      | 3
+    city    | El Dorado
+    visited | True
+
+
+Default Format
+++++++++++++++
+
+When you create a :class:`~cli_helpers.tabular_output.TabularOutputFormatter`
+object, you can specify a default formatter so you don't have to pass the
+format name each time you want to format your data::
+
+    >>> formatter = TabularOutputFormatter(format_name='plain')
+    >>> print("\n".join(formatter.format_output(iter(data), headers)))
+      id  city       visited
+       1  Asgard     True
+       2  Camelot    False
+       3  El Dorado  True
+
+.. TIP::
+   You can get or set the default format whenever you'd like through
+   :data:`TabularOutputFormatter.format_name <cli_helpers.tabular_output.TabularOutputFormatter.format_name>`.
+
+
+Passing Options to the Formatters
++++++++++++++++++++++++++++++++++
+
+Many of the formatters have settings that can be tweaked by passing
+an optional argument when you format your data. For example,
+if we wanted to enable or disable number parsing on any of
+`tabulate's <https://bitbucket.org/astanin/python-tabulate>`_
+formats, we could::
+
+    >>> data = [[1, 1.5], [2, 19.605], [3, 100.0]]
+    >>> headers = ['id', 'rating']
+    >>> print("\n".join(format_output(iter(data), headers, format_name='simple', disable_numparse=True)))
+    id    rating
+    ----  --------
+    1     1.5
+    2     19.605
+    3     100.0
+    >>> print("\n".join(format_output(iter(data), headers, format_name='simple', disable_numparse=False)))
+      id    rating
+    ----  --------
+       1     1.5
+       2    19.605
+       3   100
+
+
+Lists and tuples and bytearrays. Oh my!
++++++++++++++++++++++++++++++++++++++++
+
+:mod:`~cli_helpers.tabular_output` supports any :term:`iterable`, not just
+a :class:`list` or :class:`tuple`. You can use a :class:`range`,
+:func:`enumerate`, a :class:`str`, or even a :class:`bytearray`! Here is a
+far-fetched example to prove the point::
+
+    >>> step = 3
+    >>> data = [range(n, n + step) for n in range(0, 9, step)]
+    >>> headers = 'abc'
+    >>> print("\n".join(format_output(iter(data), headers, format_name='simple')))
+      a    b    c
+    ---  ---  ---
+      0    1    2
+      3    4    5
+      6    7    8
+
+Real life examples include a PyMySQL
+:class:`Cursor <pymysql:pymysql.cursors.Cursor>` with
+database results or
+NumPy :class:`ndarray <numpy:numpy.ndarray>` with data points.