ferdymercury/root
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++Python
Technical Skills
C++Data AnalysisNumPyPythonScientific Computing
Maciej Szymański
PROFILE
Maciej Szymański
During November 2024, Szymanski enhanced the ferdymercury/root repository by implementing NumPy array support for the TH1::Fill method, enabling direct histogram filling from NumPy arrays. This work involved designing a new internal helper, _FillWithNumpyArray, and updating both tutorials and documentation to demonstrate the improved workflow. Szymanski used C++ and Python to bridge ROOT’s histogram API with NumPy, focusing on efficient data ingestion for scientific computing. Comprehensive unit tests were added to verify correct behavior with arrays and optional weights. The update reduced boilerplate code for data analysis, improved test coverage, and streamlined data processing for ROOT users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
132
Activity Months1
Your Network
99 peopleShared Repositories
99
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — ferdymercury/root: - Key features delivered: Implemented NumPy Array Support for TH1::Fill, enabling direct filling of histograms with NumPy arrays. Added internal helper _FillWithNumpyArray, and updated tutorials to demonstrate this workflow. A dedicated unit test asserts correct behavior with NumPy arrays and optional weights. - Major bugs fixed: No major bugs reported or fixed this month for this repository. - Overall impact and accomplishments: Enhances data ingestion workflows by supporting NumPy arrays directly in histogram filling, reducing boilerplate and enabling faster data processing for data science workflows. Strengthens ROOT histogram capabilities and test coverage, with improved documentation to guide users. - Technologies/skills demonstrated: C++ API design for ROOT histograms, NumPy interoperability, unit testing, code documentation, and tutorial maintenance.
1 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — ferdymercury/root: - Key features delivered: Implemented NumPy Array Support for TH1::Fill, enabling direct filling of histograms with NumPy arrays. Added internal helper _FillWithNumpyArray, and updated tutorials to demonstrate this workflow. A dedicated unit test asserts correct behavior with NumPy arrays and optional weights. - Major bugs fixed: No major bugs reported or fixed this month for this repository. - Overall impact and accomplishments: Enhances data ingestion workflows by supporting NumPy arrays directly in histogram filling, reducing boilerplate and enabling faster data processing for data science workflows. Strengthens ROOT histogram capabilities and test coverage, with improved documentation to guide users. - Technologies/skills demonstrated: C++ API design for ROOT histograms, NumPy interoperability, unit testing, code documentation, and tutorial maintenance.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++Data AnalysisNumPyPythonScientific Computing
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