During a focused month contributing to the numpy/numpy repository, Theotime Grohens addressed a documentation inconsistency in the normal distribution functions by clarifying that the sigma parameter represents the standard deviation. Using Python and leveraging skills in data analysis and statistical modeling, Theotime carefully aligned the docstrings with the actual API behavior, reducing potential user confusion and support requests. The work involved precise reST-based documentation updates and adherence to repository standards, including the use of the MAINT tag and a disciplined single-commit patch. This targeted maintenance improved API clarity and reinforced trust in NumPy’s documentation for statistical functions.