📅 2025-08-21 — Session: Developed Python scripts for file and data handling
🕒 19:40–20:10
🏷️ Labels: Python, File Handling, Geospatial, Data Processing, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
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.