📅 2024-05-26 — Session: Developed Robust Data Processing Scripts for GitHub
🕒 11:15–12:20
🏷️ Labels: Python, Data Processing, Github, Error Handling, File Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The aim was to develop and refine Python scripts for downloading, processing, and managing data from GitHub repositories, with a focus on error handling and efficient file management.
Key Activities:
- Created a Python script to download and process data from GitHub, handling configurations such as year range and file overwriting.
- Implemented error handling for data downloads, specifically checking for 404 errors and managing file existence.
- Developed scripts to handle missing files during data processing, ensuring concatenation only occurs when files are present.
- Added cleanup steps to remove temporary files post-processing using the
shutilmodule. - Provided code snippets for data loading in both Python and R, facilitating analysis without needing to clone repositories.
- Addressed issues with boolean flag usage in an argparse script, correcting the script and providing usage examples.
Achievements:
- Successfully developed robust scripts for data processing with comprehensive error handling and cleanup mechanisms.
- Improved script reliability by fixing argparse boolean flag issues.
Pending Tasks:
- Further testing of scripts in different environments to ensure compatibility and robustness.
- Exploration of additional data sources or repositories for processing.