
Developed modular student notebook features for the mauricioantelis/TC1002S repository, focusing on scaffolding and template creation to streamline onboarding and ensure reproducible workflows. Delivered three Jupyter Notebook-based modules, including a structured workspace for new students, a Pandas-driven data management notebook, and a Seaborn and Matplotlib visualization notebook supporting hands-on learning. Additionally, implemented an Iris dataset classification notebook that covered data loading, preprocessing, visualization, and clustering, producing a PNG artifact for assessment. The work emphasized Python, data preprocessing, and visualization, resulting in faster onboarding, consistent lab experiences, and ready-to-review artifacts, though no critical bugs were addressed during this period.
March 2025 (TC1002S) — Delivered modular student notebook features, added analysis and Iris notebooks, strengthening onboarding, hands-on practice, and reproducible workflows. No critical bugs fixed this month; focus was on scaffolding, templates, and artifact creation. Result: faster student onboarding, consistent lab experiences, and ready-to-review notebooks for assessment.
March 2025 (TC1002S) — Delivered modular student notebook features, added analysis and Iris notebooks, strengthening onboarding, hands-on practice, and reproducible workflows. No critical bugs fixed this month; focus was on scaffolding, templates, and artifact creation. Result: faster student onboarding, consistent lab experiences, and ready-to-review notebooks for assessment.

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