Curious about the evolution of Shiny? Tune in for insights! #shiny #opensource #datascience @appsilon_official
Curious about the evolution of Shiny? Tune in for insights! #shiny #opensource #datascience  @appsilon_official
Uploaded May 2025 | Updated September 2026, 2 weeks ago
In this episode, Eric Nantz reflects on how Shiny began, how its reactivity model works behind the scenes, and why it’s becoming essential in clinical trial workflows. at major companies. We also explore Shiny for Python, user reactions, and what the future holds for this powerful tool.

👉 Click the episode link right above the description to watch the full video.
Curious about the evolution of Shiny? Tune in for insights! #shiny #opensource #datascienceUsing Shiny to harness the power of open science in small-scale fisheries managementPavel Demin: Shiny Semantic in Shiny for PythonA Day in the Life of a Delivery Manager with Aga RasińskaHow do you tackle bias while using machine learning in neuroscience clinical trials?Risk-Based Validation of R Packages in Regulated Environments Part 2The importance of software engineers in #clinicaltrial code quality | #datascience #softwareAppsilon Retreat 2024 - Warka, Poland 💙Inside Novo Nordisk’s Path to Open Source for the Pharma and BeyondCan machine learning help build better #neuroscience clinical trials?Jon Harmon: Baking JavaScript into a Shiny PackageBest practices for coding Shiny apps with Rhino Team
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Curious about the evolution of Shiny? Tune in for insights! #shiny #opensource #datascience

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