malariagen/malariagen-data-python
Feb 2026 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Python programmingdata analysisunit testingPythondata filteringdata visualization
Your Name
PROFILE
Your Name
During a two-month period, Dev M. enhanced the malariagen/malariagen-data-python repository by developing advanced cohort grouping and filtering features using Python and data analysis techniques. They introduced a flexible filter_unassigned parameter to cohort construction functions, allowing users to control the inclusion of intermediate and unassigned taxon values, while maintaining backward compatibility. Dev M. also refined cohort filtering logic to ensure only valid samples are included and expanded multi-cohort plotting capabilities by forwarding user-supplied query options and adding new parameters. Their work included robust unit testing and code quality improvements, resulting in more reliable, reproducible, and maintainable cohort analysis workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
215
Activity Months2
Your Network
42 peopleShared Repositories
42
Isobel NolanMember
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Aditya BijalwanMember
AdilMember
ahernankMember
Alistair MilesMember
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Anastasia Hernandez-KoutouchevaMember
ritoban23Member
Work History
March 2026
5 Commits • 2 Features
Mar 1, 2026March 2026 — Delivered two core feature areas for malariagen-data-python with a focus on data quality, analytics flexibility, and maintainability. Key outcomes include refined cohort filtering to ensure only valid samples are included, and expanded multi-cohort plotting that forwards user-supplied query options along with new parameters. Implemented robust tests around parameter forwarding and maintained strong code quality through pre-commit formatting and style checks. These changes enable more reliable cohort analyses, faster experimentation, and reduced risk of user-config errors in downstream workflows.
5 Commits • 2 Features
Mar 1, 2026March 2026 — Delivered two core feature areas for malariagen-data-python with a focus on data quality, analytics flexibility, and maintainability. Key outcomes include refined cohort filtering to ensure only valid samples are included, and expanded multi-cohort plotting that forwards user-supplied query options along with new parameters. Implemented robust tests around parameter forwarding and maintained strong code quality through pre-commit formatting and style checks. These changes enable more reliable cohort analyses, faster experimentation, and reduced risk of user-config errors in downstream workflows.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for malariagen/malariagen-data-python: Implemented Cohort Grouping Enhancement by adding filter_unassigned to _prep_samples_for_cohort_grouping to give users granular control over filtering of 'intermediate' and 'unassigned' taxon values during cohort construction; ensured backward compatibility and explicit override paths. The change propagated to snp_allele_frequencies_advanced, aa_allele_frequencies_advanced, gene_cnv_frequencies_advanced, and haplotypes_frequencies_advanced. Committed as b89e20ba40487a3d5855fadcfdc356ddd7c076b6; Fixes #806.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for malariagen/malariagen-data-python: Implemented Cohort Grouping Enhancement by adding filter_unassigned to _prep_samples_for_cohort_grouping to give users granular control over filtering of 'intermediate' and 'unassigned' taxon values during cohort construction; ensured backward compatibility and explicit override paths. The change propagated to snp_allele_frequencies_advanced, aa_allele_frequencies_advanced, gene_cnv_frequencies_advanced, and haplotypes_frequencies_advanced. Committed as b89e20ba40487a3d5855fadcfdc356ddd7c076b6; Fixes #806.
Activity
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Quality Metrics
Correctness96.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingdata analysisdata filteringdata visualizationtestingunit testing
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