Overview of Dash Curriculum

Preface

• What is this resource?
• Learner Personas
• How to use this resource?
• Who created this resource?
  • Introduction to the team
  • What is Plotly and Dash?
• Acknowledgements

Chapter 0: Installation Stack

• checklist of things they need
• install stack

Part I: Introduction to Dashboards in Dash

• Summary and overview of this part
• Learning Intentions

Chapter 1: What is a Dashboard?

• Sample Dashboards
• Theory on Dashboards
• Principles of effective dashboard design
• Usability and Accessibility of Dashboards
• Web app versus dashboard

Chapter 2: Getting Started with Dash

• Structure of a Dash app
• Installation and setup
• Create your first Dash app
• Live updates and debugging
  • how to stop your app (and why you should) (Ctrl+C)
  • how to update your app (Ctrl+C and then re-run)
  • how to turn on "live updating" (with debug=True) and what this means (i.e. what happens if you have a syntax error and your app crashes)

Chapter 3: Dash Components and Layouts

• What you will Learn
• Dash Components
  • Markdown
  • Button
  • Dropdown
  • Checkbox
  • Slider
  • Graph
• Design App layout
  • Container: Dash Bootstrap Components
  • Row and Col: Dash Bootstrap Components

Chapter 4: Linking Dash Components

• Introduction to decorators in Python
• Callback decorators in Dash
  • Input
  • Output
  • Component_id
  • Component_property
• Setting up a callback
  • Dropdown and Graph
  • Slider and Graph

Chapter 5: App Deployment

• Basic deployment to Heroku

Part II: Data Visualization

• Summary and overview of this part
• Learning Intentions

Chapter 6: Working with Data in Dash

• From excel or csv to pandas df
• Loading a dataframe from a URL
• Creating our own pandas df
• Using data from an API
• "do wrangling inside app" --> show that it is slow

Chapter 7: Wrangling Data

• "do wrangling separately in py files" --> show that it's faster
• Case Study: Select a dataset
• Basic operations with pandas
• Cleaning, processing, wrangling
• Preprocessing files

Chapter 8: Data Visualization

• Principles of Effective Visualizations
• Introduction to Plotly Express
• Plotly Express graphs
  • scatter plot
  • line plot
  • bar plot
  • etc...
• Incorporting PX graphs in a Dash app
• References and resourcres

Chapter 9: DataTables

• Intro to the DataTable: creating a basic DataTable
• Linking dataTable to graph
• Editing the DataTable
• Other importnat DataTable props

Part III: Advanced Dash

• Summary and overview of this part
• Learning Intentions

Chapter 10: Advanced Callbacks

• States
• Multiple buttons: callback_context
• Multiple outputs and inputs

Chapter 11: Additional Components

• Advanced DBC
• Advanced DCC
  • RangeSlider
  • Datepicker
  • Interval
  • Store

Part IV: Polishing Dash Apps

Chapter 12: Advanced Styling and Layout

• Creating a layout component inside a callback
• More Dash Bootstrap Components
• Sytling app with Dash Bootstrap Components

Chapter 13: Improving App Performance

• Callback graphs to asses speed
• Actions to improve app speed
  • Sharing data between callbacks(?)
• Efficiency

Part V: Multi-page Apps

Chapter 14: Introduction to Multi-page Apps

• Why separate into multiple pages?

  • Advantages of multi-page apps (lower load times, less processing, more modular pages, more focused content, easier to collaborate in teams)
  • Disadvantages of multi-page apps (increased maintenance effort/time, complex structure, potentially some repeated code, etc...)

• Structure of Multi-page Apps

  • Storyboarding and building out pages
  • File and folder layouts
  • Registering pages
  • Callbacks
  • building out the app.py file

Chapter 15: Making Multi-page Apps

• A few words on what multipage layouts are possible
• Building multi-page app examples

Appendix

Gallery and Template

• Dashboard Layouts

  • Layouts with control panels and graphs
    • Template 1: Controls-left, Graph-right
    • Template 2: Controls-bottom, Graph-top
  • Layouts with navigation panels and Graphs
    • Template 1: Navigaton-right, Graph-left
    • Template 2: Navigaton-top, Graph-bottom
  • Cpmbining nnavigation and control panels
    • Template 1:
    • Template 2:

• Case Studies

• Case Study 1

• Case Study 2

Part X: Automations and Deployments

• What you will learn in this part
• Learning Intentions

Chapter XX: Full Deployment

• Components of deployment
  • Procfile
  • requirements.txt
  • Dockerfile
  • Heroku build pipeline
• Deploying to Pythoanywhere ? (Optional)

Chapter XX: Continuous Integration/Deployment

• Testing
• Setting up a pipeline
• Github Actions