Daniel Chen
Daniel is a Lecturer at the University of British Columbia and Data Science Educator at Posit, PBC. He believes that data science artifacts are useful when the information can be shared across stakeholders, and enjoys learning and teaching the tools that enable deploying and sharing these data products.
Sessions
Shiny for Python is an efficient and reactive application framework that will be able to grow with your application needs.
As your shiny application grows, you may find yourself needing more custom behaviors and potentially reusing and sharing
your custom behaviors with others.
You may also find your existing applications to be overly complex and had to see the overall structure of the application.
Here are some tips on writing better Shiny Applications and leveling up your code.