Highlights from Shiny In Production (2025)
Published: November 3, 2025
This October, Jumping Rivers hosted the fourth installment of our conference "Shiny In Production". Here we summarise the talks and workshops that were presented.
Aida Gjoka
Aida completed her PhD in Statistics at Newcastle University. She enjoys programming in R and applying statistical methods to real-world problems.
Testing with {testthat}
Published: September 25, 2025
One of our main projects at Jumping Rivers in the last year has been building the Litmusverse, a platform for validation. An important component when assessing the quality of code within a package is the unit tests. In this blog we discuss the main features of the `{testthat}` package, as a very convenient way for testing R code.
Shiny in Production 2025: Lightning Talk Lineup
Published: June 24, 2025
We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!
Advanced Testing in Python
Published: May 8, 2025
Writing tests is one of the best ways to keep your Python code reliable and reproducible. This post builds on our previous blog about Python testing with pytest, and explores some of the more advanced features it offers. We will show how to make your tests more reproducible, easier to manage and demonstrate how writing simple tests can save you time in the long run.
First Steps in Python Testing
Published: September 5, 2024
Programming is a craft, and in data science we often spend countless hours coding. Software testing can improve the quality of the code you write as a data scientist. Here, we introduce the pytest framework and show how it can be used to test Python functions.
