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00_welcome.ipynb

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"## What we are going to learn\n",
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"\n",
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"0. Installing environment\n",
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"1. Getting started with JupyterLab and ipywidgets\n",
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"1. Getting started: JupyterLab and ipywidgets\n",
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" - Benefits of developing in Jupyter\n",
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" - Benefits of JupyterLab\n",
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" - File browser\n",
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" - Trait validation\n",
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" - Observing trait changes\n",
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" - Preview of dashboard\n",
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"2. Get familiar with a scientific workflow\n",
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" - Plot original data\n",
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" - Add column for Savitzky-Golay filter\n",
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" - Select a range of data\n",
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" - Plot selected data with smoothed curve\n",
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"3. Dashboarding: use ipywidgets and nbdev to create the beginnings of a dashboard\n",
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"4. Dashboard: use container widgets to layout dashboard\n",
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"4. Strip away the development cells and preview the final product\n",
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"5. Learn how to deploy the app with Voila and Binder"
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"2. workflow: Get familiar with a scientific workflow\n",
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" - Plot original data\n",
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" - Add column for Savitzky-Golay filter\n",
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" - Select a range of data\n",
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" - Plot selected data with smoothed curve\n",
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"3. nbdev: Use nbdev to export notebook cells to python modules\n",
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" - `default_exp` directive\n",
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" - `export` directive\n",
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" - `nb_export` function\n",
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"4. widgets: use ipywidgets and nbdev to create the beginnings of a dashboard\n",
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" - observing traits\n",
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" - output widgets\n",
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"5. dashboard_01 (code only)\n",
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"6. publishing: use Binder and Voila to publish your application\n",
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"7. layouts: styling and arranging widgets\n",
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"8. dashboard_02 (code only)\n",
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"9. review\n",
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"10. web_application"
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]
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},
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{

01_getting_started.ipynb

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"source": [
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"If you change the value of `slider`, you will get a messsage to the log. It might be hiding, but you can pull it up by clicking the log icon at the bottom of the screen.\n",
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"\n",
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"![img]('img/log.png')"
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"![img](img/log.png)"
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]
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"source": [
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"%%bash\n",
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"\n",
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"voila 04_dashboard.ipynb"
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"voila dashboard_02.ipynb"
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]
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},
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