140: Testing in Scientific Research and Academia - Martin Héroux
About this episode
Scientists learn programming as they need it.
Some of them learn it in college, but even if they do, that's not their focus.
It's not surprising that sharing the software used for scientific research and papers is spotty, at best.
And what about testing?
We'd hope that the software behind scientific research is tested.
But why would we expect that?
We're lucky if CS students get a class or two that even mentions automated tests.
Why would we expect other scientists to just know how to test their code?
Martin works in research and this discussion is about software and testing in scientific research and academia.
Special Guest: Martin Héroux.
Links:
- Python Testing with pytest: Simple, Rapid, Effective, and Scalable
- Test Driven Development: By Example
- My reaction to "Is TDD Dead?" - Python Testing
- MartinHeroux/pliffy: Plotting differences with Python
- PyBites Code Challenges
- Python Morsels
- Martin Héroux (@martin_heroux) / Twitter
- Scientifically Sound
- Martin Héroux - Google Scholar
- spike2py · PyPI
- pytest-mpl · PyPI
Get every episode summarized
Each time Test & Code publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
