Enhanced GitHub Actions and Data Processing

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📅 2024-05-26 — Session: Enhanced GitHub Actions and Data Processing

🕒 12:50–14:05
🏷️ Labels: Github Actions, Python, Automation, Data Processing, Machine Learning
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance automation workflows using GitHub Actions and improve data processing techniques in Python scripts.

Key Activities

  • Implemented a solution for creating temporary directories in GitHub Actions to support file operations.
  • Addressed Git push errors by integrating a workflow to pull remote changes before pushing local updates.
  • Explored Git branch merge strategies, including merge, rebase, and fast-forward.
  • Enhanced logging in Python data processing scripts to facilitate debugging and progress tracking.
  • Updated GitHub Actions workflows to manage Python script outputs, ensuring data persistence.
  • Configured Git settings within GitHub Actions for accurate commit tracking.
  • Developed regression models incorporating pooled urban areas using scikit-learn.
  • Simulated city code 0 in datasets using pandas and scikit-learn for better data representation.
  • Created a GitHub Actions workflow to check file sizes and commit files under 50 MB.
  • Automated error handling and model training processes using GitHub Actions.

Achievements

  • Successfully implemented and tested multiple GitHub Actions workflows for automation.
  • Improved data processing scripts with enhanced logging and error handling.
  • Developed strategies for efficient dataset management and model training.

Pending Tasks

  • Further refinement of GitHub Actions workflows to optimize automation processes.
  • Continued development of machine learning models for the ‘Encuestador de Hogares’ project.

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