Build Awesome Web Apps and Dashboards with Python - Full Shiny for Python Course

Build Awesome Web Apps and Dashboards with Python - Full Shiny for Python Course

Keith Galli via YouTube Direct link

- Using Layout Components to Customize our Apps Cards, Sidebars, Tabs, etc.

26 of 47

26 of 47

- Using Layout Components to Customize our Apps Cards, Sidebars, Tabs, etc.

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Build Awesome Web Apps and Dashboards with Python - Full Shiny for Python Course

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - About Shiny for Python & Course Overview
  2. 2 - Intro to Shiny & Gallery Examples
  3. 3 - Getting Started with the Shinylive Playground
  4. 4 - Building a custom visualization with Shinylive
  5. 5 - Easily sharing the code/application for a Shinylive app
  6. 6 - Building a Shiny Express App locally VSCode
  7. 7 - How to run app if you're not using VSCode
  8. 8 - Further customization of our app adding title, using CSV data, dynamic input
  9. 9 - Deploying our Shiny app to the web
  10. 10 - Part 2 Overview
  11. 11 - Getting Started with Code Part 2
  12. 12 - Adding Shiny Components Inputs, Outputs, & Display Messages
  13. 13 - Creating an Additional Visualization Sales Over Time by City
  14. 14 - What are Reactive.Calcs and How Do We Use Them Properly? DataFrame Best Practices
  15. 15 - Creating an Additional Visualization Sales Over Time by City — Continued
  16. 16 - Filtering City Data with Select Inputs UI.Input_Selectize
  17. 17 - Rendering Shiny Inputs Within Text
  18. 18 - Quick Formatting Adjustments
  19. 19 - Understanding the Shiny Reactivity Model How Does Shiny Render Things?
  20. 20 - Adding a Checkbox Input to Change Out Bar Chart Marker Colors
  21. 21 - Deploying Our Updated App!
  22. 22 - Advanced Concepts in Shiny Reactivity Reactive.Effect, Reactive.Event, Reactive.Isolate, Reactive.Invalidate_Later & Other Resources
  23. 23 - Thank you to Posit Connect, Our Sponsor
  24. 24 - Part 3 Overview
  25. 25 - Using Shiny Templates to Get Started Fast
  26. 26 - Using Layout Components to Customize our Apps Cards, Sidebars, Tabs, etc.
  27. 27 - Adding a Sidebar within a Card
  28. 28 - Adding a Card with Tabs to Display Various Visualizations
  29. 29 - Structuring Data in Columns / Grids layout_columns & layout_column_wrap
  30. 30 - Final Touches & Tips Filling in Visualizations into our Tab Views
  31. 31 - Part 4 Overview
  32. 32 - Getting Setup with the Code cloning branch from GitHub
  33. 33 - Adding Matplotlib-based visualizations render.plot Shiny for Python decorator
  34. 34 - Create a Seaborn Heatmap Chart Sales Volume by Hour of the Day
  35. 35 - Creating Interactive Charts with Jupyter Widgets Plotly, Altair, Bokeh, Pydeck, & More… | render_widget decorator
  36. 36 - Implementing Folium for Location-Based Heatmaps render.ui decorator
  37. 37 - Enhancing DataFrames with Filters and Selection Modes render.data_frame, render.DataGrid, render.DataTable, etc.
  38. 38 - Additional Rendering Options, Final Touches and Next Steps
  39. 39 - Part 5 Overview
  40. 40 - Modifying HTML and CSS in Shiny
  41. 41 - Adding a Logo Image
  42. 42 - Styling Labels and Containers Aligning our Image w/ the Title — Custom Divs
  43. 43 - Customizing Altair Charts Gridlines, Font, Axis Labels, Etc.
  44. 44 - Customizing Plotly Visualizations
  45. 45 - Customizing Seaborn & Folium Heatmaps
  46. 46 - Final Touches, Clean Up, Recap and Next Steps
  47. 47 - Final words! Like & Subscribe pretty please!!

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.