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DOC: reword top of lifecycle tutorial
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tutorials/introductory/lifecycle.py

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==============================================
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Matplotlib has two interfaces. For an explanation of the trade-offs between the
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implicit and explicit interfaces see :ref:`api_interfaces`.
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explicit and implicit interfaces see :ref:`api_interfaces`.
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The first is an explicit object-oriented (OO) interface. In this case, we
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utilize an instance of :class:`axes.Axes` in order to render visualizations on
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an instance of :class:`figure.Figure`. The second is based on MATLAB and uses
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an implicit global state-based interface. This is encapsulated in the
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:mod:`.pyplot` module. See the :doc:`pyplot tutorials
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</tutorials/introductory/pyplot>` for a more in-depth look at the pyplot
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interface.
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In the explicit object-oriented (OO) interface we directly utilize instances of
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:class:`axes.Axes` to build up the visualization in an instance of
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:class:`figure.Figure`. In the implicit interface, inspired by and modeled on
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MATLAB, uses an global state-based interface which is is encapsulated in the
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:mod:`.pyplot` module to plot to the "current Axes". See the :doc:`pyplot
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tutorials </tutorials/introductory/pyplot>` for a more in-depth look at the
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pyplot interface.
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Most of the terms are straightforward but the main thing to remember
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is that:
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.. note::
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In general, try to use the explicit interface over the implicit pyplot
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interface for plotting.
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In general prefer the explicit interface over the implicit pyplot interface
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for plotting.
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Our data
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========

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