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@@ -9,11 +9,17 @@ In this workshop, we will learn to embed scientific tools into a robust
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scientific application that can scale from a tiny UI to a large platform. As an
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example, attendees will build an image browser application (including
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face-detection capabilities), allowing users to search through their pictures,
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based on various criteria. We will start from a simple jupyter notebook and
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based on various criteria. We will start from a simple python script and
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progressively turn it into a complete application using Matplotlib and several
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packages from the Enthought Tool Suite such as Traits, TraitsUI and Pyface. In
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the process, attendees will learn how to design clean, maintainable and
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scalable applications, and package them into an installer.
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scalable applications, and discuss sharing your tool with your users.
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Ultimately, we will be building fairly sofisticated application that allows
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users to explore images on their machines and detect faces in them:
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![full app screenshot](pycasa_final.png)
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## Set up instructions
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First step to set yourself up is to clone this repository

docs/ets_tutorial_prabhu.pdf

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docs/ets_tutorial_slides.pdf

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pycasa_final.png

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