
Worked on the scikit-learn-contrib/MAPIE repository to enhance the notebook user experience by introducing a feature that displays a warning prompting users to restart the kernel after installing or upgrading MAPIE. This addition addresses issues with stale imports and version mismatches, ensuring that installation and runtime environments remain consistent. The solution was implemented through updates to the documentation using Markdown, with a focus on clear user guidance and workflow reliability in Jupyter notebook environments. No bugs were reported or fixed during this period, and the work emphasized documentation workflow, release hygiene, and effective communication of best practices to end users.
May 2026 MAPIE monthly summary: Delivered a feature to improve notebook UX by adding a user-facing warning that prompts kernel restart after MAPIE installation to avoid stale imports and version mismatches. This aligns installation, runtime, and documentation for a smoother user experience. Commits reference: 59ff1b17892ea537bbf42b1631af63e9e93e0661 (docs: add notebook kernel restart warning (#918)). Major bugs fixed: none reported for MAPIE this month. Overall impact: reduces post-install runtime issues, lowers support friction, and improves onboarding in notebook environments. Technologies/skills demonstrated: Python, Jupyter notebook UX, documentation workflow, release hygiene, and version management.
May 2026 MAPIE monthly summary: Delivered a feature to improve notebook UX by adding a user-facing warning that prompts kernel restart after MAPIE installation to avoid stale imports and version mismatches. This aligns installation, runtime, and documentation for a smoother user experience. Commits reference: 59ff1b17892ea537bbf42b1631af63e9e93e0661 (docs: add notebook kernel restart warning (#918)). Major bugs fixed: none reported for MAPIE this month. Overall impact: reduces post-install runtime issues, lowers support friction, and improves onboarding in notebook environments. Technologies/skills demonstrated: Python, Jupyter notebook UX, documentation workflow, release hygiene, and version management.

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