Enhanced Data Processing Scripts with Error Handling and Cleanup

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📅 2024-05-26 — Session: Enhanced Data Processing Scripts with Error Handling and Cleanup

🕒 11:10–12:20
🏷️ Labels: Python, Data Processing, Error Handling, Cleanup, Github
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance and refactor Python scripts for downloading and processing data from GitHub repositories, with a focus on error handling, file management, and cleanup.

Key Activities

  • Developed a Python script to download and process data from GitHub, including handling configurations such as year range and file overwriting.
  • Implemented error handling for downloading data files, including checks for 404 errors.
  • Added functionality to handle missing files during data processing, ensuring concatenation only occurs if files are present.
  • Included cleanup steps to remove temporary files after processing using the shutil module.
  • Provided code snippets for data loading in both Python and R to facilitate data analysis.
  • Fixed issues with boolean flag usage in argparse scripts, improving script reliability.

Achievements

  • Successfully refactored data processing scripts to include robust error handling and cleanup procedures.
  • Enhanced script reliability and maintainability by fixing argparse flag issues.

Pending Tasks

  • Further testing of the scripts in different environments to ensure robustness.
  • Documentation of the updated scripts for future reference.

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