8000 DOC: add a testimonial from JP Morgan (#12555) · jnothman/scikit-learn@6ae46a1 · GitHub
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DOC: add a testimonial from JP Morgan (scikit-learn#12555)
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‎doc/testimonials/images/jpmorgan.png

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‎doc/testimonials/testimonials.rst

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@@ -11,7 +11,40 @@ Who is using scikit-learn?
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.. to add a testimonials, just XXX
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`Spotify <http://www.spotify.com>`_
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`J.P.Morgan <https://www.jpmorgan.com>`_
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------------------------------------------
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.. raw:: html
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<div class="logo">
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.. image:: images/jpmorgan.png
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:width: 120pt
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:target: https://www.jpmorgan.com
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.. raw:: html
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</div>
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Scikit-learn is an indispensable part of the Python machine learning
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toolkit at JPMorgan. It is very widely used across all parts of the bank
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for classification, predictive analytics, and very many other machine
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learning tasks. Its straightforward API, its breadth of algorithms, and
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the quality of its documentation combine to make scikit-learn
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simultaneously very approachable and very powerful.
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.. raw:: html
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<span class="testimonial-author">
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Stephen Simmons, VP, Athena Research, JPMorgan
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.. raw:: html
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</span>
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`Spotify <https://www.spotify.com>`_
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.. raw:: html

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