📅 2025-06-03 — Session: Bash and Python Script Automation and Analysis
🕒 22:30–23:55
🏷️ Labels: Bash Scripting, Python Debugging, Data Processing, Sql Optimization, Pipeline Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance automation processes for Python scripts using Bash and analyze data processing techniques.
Key Activities:
- Developed a Bash script to recursively execute Python scripts, handling errors and printing outputs for debugging.
- Modified scripts to track execution time of Python scripts, providing feedback on success or failure.
- Documented errors in Python scripts, offering diagnostics and debugging steps.
- Diagnosed issues with Python script paths, suggesting improvements for compatibility and organization.
- Conducted a batch test, summarizing successful and failed script executions.
- Performed comparative analysis of data processing techniques, focusing on code structure and data cleaning.
- Critically analyzed data science projects, evaluating data cleaning, modeling, and visualizations.
- Analyzed data pipelines, identifying issues with modularity and documentation, and suggested improvements.
- Evaluated SQL queries and use of pandas in data processing, offering optimization suggestions.
Achievements:
- Successfully automated batch testing of Python scripts with error handling and execution time tracking.
- Provided comprehensive analysis and recommendations for improving data processing pipelines and SQL queries.
Pending Tasks:
- Implement suggested improvements in data pipelines and SQL queries for enhanced efficiency and maintainability.