
Developed a trajectory analysis feature for the neuroinformatics-unit/movement repository, focusing on accurate computation of turning angles in movement data. The implementation in Python emphasized robust algorithm development, including handling of zero-length steps and support for both degree and radian outputs. Refactored core logic into a dedicated module to improve code organization and maintainability, while comprehensive unit tests and parametrized examples ensured reliability across edge cases. Enhanced documentation and continuous integration practices contributed to higher code quality. This work improved the accuracy and interpretability of movement analytics, supporting downstream scientific computing workflows and enabling more detailed behavioral data analysis.
April 2026 monthly summary for neuroinformatics team focusing on the neuroinformatics-unit/movement repository. Delivered a robust trajectory analysis feature, improved code organization, and enhanced testing/CI hygiene, resulting in clearer movement insights and higher data quality for downstream analytics.
April 2026 monthly summary for neuroinformatics team focusing on the neuroinformatics-unit/movement repository. Delivered a robust trajectory analysis feature, improved code organization, and enhanced testing/CI hygiene, resulting in clearer movement insights and higher data quality for downstream analytics.

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