Curated Interactive Notebooks for Data Science

• Day: 2025-03-13
• Time: 01:05 to 01:30
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Notebooks, Data Science, Programming, SQL, Usability

Description

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.

Evidence

• source_file=2025-03-13.sessions.jsonl, line_number=7, event_count=0, session_id=4e94c16209cc8ffe36134614171a32153a38ed9afccb1d6c068eb878696068f6
• event_ids: []