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Add link to jupyter.org
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tutorials/introductory/usage.py

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@@ -297,12 +297,12 @@ def my_plotter(ax, data1, data2, param_dict):
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# matplotlib targets many different use cases and output formats. Some
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# people use matplotlib interactively from the python shell and have
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# plotting windows pop up when they type commands. Some people run
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# Jupyter notebooks and draw inline plots for quick data analysis.
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# Others embed matplotlib into graphical user interfaces like wxpython
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# or pygtk to build rich applications. Some people use matplotlib in
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# batch scripts to generate postscript images from numerical
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# simulations, and still others run web application servers to
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# dynamically serve up graphs.
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# `Jupyter <https://jupyter.org>`_ notebooks and draw inline plots for
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# quick data analysis. Others embed matplotlib into graphical user
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# interfaces like wxpython or pygtk to build rich applications. Some
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# people use matplotlib in batch scripts to generate postscript images
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# from numerical simulations, and still others run web application
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# servers to dynamically serve up graphs.
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#
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# To support all of these use cases, matplotlib can target different
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# outputs, and each of these capabilities is called a backend; the

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