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Programmation Python
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09 - Deploying our Shiny app to the web
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22 - Advanced Concepts in Shiny Reactivity (Reactive.Effect, Reactive.Event, Reactive.Isolate, Reactive.Invalidate_Later) & Other Resources
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23 - Thank you to Posit Connect, Our Sponsor
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25 - Using Shiny Templates to Get Started Fast
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26 - Using Layout Components to Customize our Apps (Cards, Sidebars, Tabs, etc.)
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27 - Adding a Sidebar within a Card
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28 - Adding a Card with Tabs to Display Various Visualizations
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30 - Final Touches & Tips (Filling in Visualizations into our Tab Views)
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32 - Getting Setup with the Code (cloning branch from GitHub)
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33 - Adding Matplotlib-based visualizations (render.plot Shiny for Python decorator)
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34 - Create a Seaborn Heatmap Chart (Sales Volume by Hour of the Day)
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35 - Creating Interactive Charts with Jupyter Widgets (Plotly, Altair, Bokeh, Pydeck, & More…) | render_widget decorator
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36 - Implementing Folium for Location-Based Heatmaps (render.ui decorator)
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37 - Enhancing DataFrames with Filters and Selection Modes (render.data_frame, render.DataGrid, render.DataTable, etc.)
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38 - Additional Rendering Options, Final Touches and Next Steps