Deploying shiny applications can be frustrating, making sure your production environment matches your local environment where you can see your application running. In this blog post we explore how we might start writing code to automate the process of creating Dockerfiles for producing images that make our local, running, shiny application able to be deployed in a container.
Read more about Automating Dockerfile creation for Shiny apps
Here at Jumping Rivers we like to keep our courses up to date so we can bring you training on the latest tools and technologies. To this end, we have recently added two new courses to our listing!
Read more about Training course update - Autumn 2022
On October 6-7 2022, Jumping Rivers hosted the Shiny in Production conference! The conference delved into the world of {shiny} and other web based R packages.
Read more about Highlights from Shiny in Production (2022)
Have you ever inherited a pile of messy code? Or perhaps you wrote some code a long time ago and it needs some TLC? Here are our tips for refactoring messy code.
Read more about Refactoring Russian Doll Code
Shiny in Production is just around the corner and we can't wait to see you all there! Read on for more on what we have in store!
Read more about Shiny in Production: Coming up
Unit testing is an integral part of creating robust applications and codebases. Continuing the API as a package series we explore how you might set up unit tests with {testthat} for your API service.
Read more about API as a package: Testing
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