Developed Python scripts for text and data processing

• Day: 2023-08-03
• Time: 21:05 to 21:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Text Processing, Data Manipulation, Markdown, HTML

Description

Session Goal

The session aimed to enhance text and data processing capabilities using Python, focusing on name extraction, DataFrame manipulation, and report generation.

Key Activities

• Developed a Python function to extract proper names from unstructured text using heuristics and regular expressions.
• Improved the name extraction code to be more lenient and capture capitalized words as potential names.
• Created a new DataFrame from existing data by iterating through rows and matching names in descriptions.
• Updated the extract_names function to include parameters for filtering short names and excluding keywords.
• Generated a markdown report in Argentine Spanish, formatting names and associated details.
• Implemented code for converting Markdown to HTML using the Python markdown library and enhanced HTML output with Bootstrap CSS.
• Set locale for date formatting in Spanish, replacing English day and month names with Spanish equivalents.

Achievements

• Successfully developed and refined multiple Python scripts for text processing, data manipulation, and report generation.
• Enhanced the appearance of HTML outputs using Bootstrap.

Pending Tasks

• Further testing and validation of the name extraction and DataFrame manipulation scripts to ensure accuracy and efficiency.

Evidence

• source_file=2023-08-03.sessions.jsonl, line_number=2, event_count=0, session_id=3fe210039d4e6efce3614c5a2b4c5690533848c11c25aa9392bd43ff2fe5d50e
• event_ids: []