Developed Student Report System with PDF Export

• Day: 2025-06-26
• Time: 04:55 to 05:50
• Project: Teaching
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, PDF, Dataframe, Weasyprint, CSS, Jupyter

Description

Session Goal: The session aimed to develop a comprehensive student-specific reporting system that generates individual reports using Python and exports them as PDFs.

Key Activities:

• Designed a structured plan to generate student reports using Python DataFrames.
• Created a custom Jupyter report template for student performance, formatted in HTML.
• Improved DataFrame indexing for efficient data processing.
• Implemented PDF export functionality using WeasyPrint, including error correction and CSS styling for better aesthetics.
• Clarified the use of different HTML classes for PDF generation and Jupyter rendering.
• Enhanced report styling with CSS for improved readability and professional appearance.
• Developed a script using PyPDF2 to merge multiple PDFs.

Achievements:

• Successfully created a system to generate and export student reports as PDFs with enhanced styling and error handling.

Pending Tasks:

• Further refine the CSS for report aesthetics and explore additional automation opportunities for report generation.

Evidence

• source_file=2025-06-26.sessions.jsonl, line_number=2, event_count=0, session_id=a02ef34e6e28d2f0411bdb44dd7f188b22e81bb0d7e7cae28685bcb2cff105df
• event_ids: []