Developed Python scripts for file and data handling

• Day: 2025-08-21
• Time: 19:40 to 20:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, File Handling, Geospatial, Data Processing, Automation

Description

Session Goal

The session aimed to develop and refine Python scripts for efficient file handling and data manipulation, with a focus on automation tasks and geospatial data processing.

Key Activities

• Python Imports: Identified and listed essential Python modules for file handling and data manipulation.
• Directory Management: Implemented code to list and sort file paths within a directory using Python.
• File Reading: Demonstrated methods to read contents from Markdown files, focusing on text extraction and initial data processing.
• Geospatial Data Checks: Developed a script to identify CRS and EPSG mentions in Markdown files, crucial for geospatial data processing.
• Documentation and Planning: Outlined pending tasks for geo integration methods documentation, including CRS details and data source paths.
• Canonical Details: Extracted and documented canonical CRS and data paths for geospatial integration from existing notebooks.
• Linear Regression Toolkit: Explored a toolkit for simple linear regression in poverty analysis, including model fitting and diagnostics.
• Extrapolation Method: Consolidated MDX for extrapolation methods, ensuring robust error handling and parameter integration.
• Temporal Methods: Structured MDX page for quarterly alignment and seasonal decomposition methods.

Achievements

• Successfully developed and documented Python scripts for file handling and geospatial data processing.
• Completed initial documentation for geo integration methods.

Pending Tasks

• Further refine the geo integration methods documentation with additional details on IDFRAC formatting and source paths.

Evidence

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• event_ids: []