📅 2025-06-03 — Session: Bash and Python Script Automation and Data Processing Analysis
🕒 22:30–23:55
🏷️ Labels: Bash, Python, Automation, Data Processing, Pandas, SQL
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the automation of Python script execution using Bash and to conduct a comprehensive analysis of data processing techniques and pipelines.
Key Activities
- Developed a Bash script to recursively execute Python scripts, track execution time, and handle errors gracefully.
- Analyzed errors in Python scripts and provided debugging recommendations.
- Conducted a comparative analysis of data processing techniques using pandas and duckdb.
- Evaluated data science projects, focusing on data cleaning, SQL queries, and pipeline modularity.
- Proposed improvements for data cleaning pipelines and SQL optimization.
Achievements
- Successfully implemented a Bash script for batch testing and error tracking of Python scripts.
- Identified key areas for improvement in data processing pipelines and SQL queries.
- Provided actionable insights and recommendations for optimizing data workflows.
Pending Tasks
- Implement the proposed improvements in data cleaning pipelines and SQL optimization.
- Continue monitoring and refining the automation scripts for better performance.