📅 2025-03-13 — Session: Curated Interactive Notebooks for Data Science
🕒 01:05–01:30
🏷️ Labels: Notebooks, Data Science, Programming, SQL, Usability
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal:
The primary goal of this session was to curate and organize a comprehensive list of interactive notebooks for practicing key concepts in programming, data analysis, databases, and data visualization.
Key Activities:
- Compiled a structured Markdown index listing interactive notebooks for practicing programming, data analysis, and database concepts.
- Organized notebooks into categories such as programming, data analysis, databases, SQL, and data visualization.
- Enhanced the usability of documentation by suggesting improvements inspired by the Pandas documentation, including better navigation and the addition of a search bar using Lunr.js.
Achievements:
- Successfully created a comprehensive index of interactive notebooks covering a wide range of data science topics.
- Provided actionable suggestions for enhancing documentation usability.
Pending Tasks:
- Implement the suggested usability enhancements in the documentation, including the addition of a search bar using Lunr.js.