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Merge pull request #81 from jonathanrocher/feature/add_single_file_stage_4.0
Tweak READMEs.
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README.md

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## Tutorial summary
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In this workshop, we will learn to embed scientific tools into a robust
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In this 4h 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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the process, attendees will learn how to design clean, maintainable and
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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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Ultimately, by the end of the workshop, we will have built a fairly
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sophisticated application that allows users to explore images on their machines
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and detect faces in them:
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![full app screenshot](pycasa_final.png)
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### EDM users (recommended)
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First, download and install EDM from https://www.enthought.com/edm/. Then,
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open a `Terminal`/`Powershell`/`Cmd Prompt`/ and create a lighweight bootstrap environment to run the installation commands.
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open a `Terminal`/`Powershell`/`Cmd Prompt`/ and create a light-weight
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bootstrap environment to run the installation commands.
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```commandline
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edm envs create bootstrap
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edm install --environment bootstrap click
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- add button to launch the face detection on all images
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- add widgets to filter images
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- step 6: pyface application: adding menu and branding
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- step 7: pyface application: advanced features [OPTIONAL]
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- step 7: Advanced features
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- Using traits_futures to move tasks to the background
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- step 8: Packaging and sharing
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# Hello world as a Pyface application
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This is a single file pyface application to display a Hello World message as an
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application. The next stage, 4.1, has the same content by splatters the content
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into a proper Python package so each layer can grow.
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application. The next stage, 4.1, has the same content but splatters it into a
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proper Python package so each layer can grow.

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