numpy/numpy
Jul 2026 – Jul 2026
1 Month active
Languages Used
Python
Technical Skills
Pythondocumentationnumpy
Shoumik Chakravarty
PROFILE
Shoumik Chakravarty
Worked on enhancing documentation within the numpy/numpy repository, focusing on masked array operations in Python. The primary contribution involved adding detailed cross-references between the np.ma.correlate and np.ma.convolve functions, specifically clarifying the behavior of the propagate_mask parameter. This effort aimed to align the documentation with actual API behavior, making it easier for users to understand and correctly utilize these features. By improving clarity and consistency in the documentation, the work reduced potential user confusion and support requests. The approach emphasized maintainability and future extensibility, leveraging skills in Python, technical writing, and the numpy library to strengthen onboarding resources.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2
Activity Months1
Your Network
249 peopleWork History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026 | Repository: numpy/numpy Concise delivery focus: Documentation enhancement for masked array operations, with cross-referencing between np.ma.correlate and np.ma.convolve (propagate_mask). This aligns docs with behavior, improving user understanding and reducing support questions. No major bugs fixed this month in numpy/numpy; primary effort centered on documentation quality and API clarity. Impact: Improved onboarding for masked array users, clearer guidance for propagate_mask, and stronger API consistency across related functions. This sets the foundation for safer usage patterns and smoother future feature adoption. Commit reference: 0a0bc285e0d20f6b2fa6b6f6a59c1e7b88c4dbdc (DOC: cross-reference np.ma.correlate from np.ma.convolve for propagate_mask, PR #31852)
1 Commits • 1 Features
Jul 1, 2026July 2026 | Repository: numpy/numpy Concise delivery focus: Documentation enhancement for masked array operations, with cross-referencing between np.ma.correlate and np.ma.convolve (propagate_mask). This aligns docs with behavior, improving user understanding and reducing support questions. No major bugs fixed this month in numpy/numpy; primary effort centered on documentation quality and API clarity. Impact: Improved onboarding for masked array users, clearer guidance for propagate_mask, and stronger API consistency across related functions. This sets the foundation for safer usage patterns and smoother future feature adoption. Commit reference: 0a0bc285e0d20f6b2fa6b6f6a59c1e7b88c4dbdc (DOC: cross-reference np.ma.correlate from np.ma.convolve for propagate_mask, PR #31852)
July 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Pythondocumentationnumpy
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