Uploaded October 2024 | Updated September 2026, 2 weeks ago
#ShinyConf #ShinyConf2024
Abstract: Dive into Shiny for Python: a 4-hour workshop tailored for data scientists and Python developers interested in building interactive web dashboards. We cut straight to the chase, showcasing how to craft your first app, navigate Shiny's UI/server logic, and improve workflow with Python’s ecosystem. Perfect for those curious about transitioning from R's Shiny or seeking a robust alternative to Streamlit and Dash.
What to Expect:
- Quick Start: Setup and create your first Shiny app.
- UI/Server Basics: Simplify app development by separating concerns.
- Python’s Toolkit: Boost efficiency with ruff, pyright, and more.
- Framework Face-off: Why Shiny for Python usually wins for data science in python.
- Practical Skills: Real exercises to consolidate your learning.
Requirements:
- Familiarity with Python.
- Python 3.10+, Quarto installed.
- Eagerness to learn efficient app development.
Join to unlock the potential of Shiny for Python in your projects, making dashboards creation more accessible, powerful, and suited to data science needs.
Explore our free resources: go.appsilon.com/resources-appsilon
____________________________
Join us this year! Sign up for ShinyConf 2025 here: go.appsilon.com/register-shinyconf2025
#ShinyConf #ShinyConf2024
Abstract: Dive into Shiny for Python: a 4-hour workshop tailored for data scientists and Python developers interested in building interactive web dashboards. We cut straight to the chase, showcasing how to craft your first app, navigate Shiny's UI/server logic, and improve workflow with Python’s ecosystem. Perfect for those curious about transitioning from R's Shiny or seeking a robust alternative to Streamlit and Dash.
What to Expect:
- Quick Start: Setup and create your first Shiny app.
- UI/Server Basics: Simplify app development by separating concerns.
- Python’s Toolkit: Boost efficiency with ruff, pyright, and more.
- Framework Face-off: Why Shiny for Python usually wins for data science in python.
- Practical Skills: Real exercises to consolidate your learning.
Requirements:
- Familiarity with Python.
- Python 3.10+, Quarto installed.
- Eagerness to learn efficient app development.
Join to unlock the potential of Shiny for Python in your projects, making dashboards creation more accessible, powerful, and suited to data science needs.
Explore our free resources: go.appsilon.com/resources-appsilon
____________________________
Join us this year! Sign up for ShinyConf 2025 here: go.appsilon.com/register-shinyconf2025
