A survey of 57 scientists finds most lack formal training in readable code, struggle with poor documentation and naming, and are increasingly using AI tools to improve code quality.
V aughan, Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python’s Scientific Libraries
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
ACCEPT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
A survey of 57 scientists finds most lack formal training in readable code, struggle with poor documentation and naming, and are increasingly using AI tools to improve code quality.