Enhanced Python File Management and Optimization

• Day: 2023-01-02
• Time: 17:00 to 18:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, File Management, Code Optimization, Data Processing

Description

Session Goal:

The primary goal of this session was to enhance Python file management capabilities and optimize code for better efficiency and organization.

Key Activities:

• Developed Python functions to fix buggy file names by removing redundant ‘.txt’ extensions and ensuring correct naming conventions.
• Utilized the zipfile module to extract files from zip archives and list their names, along with extracting directory names using getinfo() and is_dir().
• Filtered files in directories using Python’s os.path.isfile() and list comprehensions, and provided solutions for path concatenation errors.
• Implemented file renaming using the os module and removed empty directories with os.rmdir().
• Optimized code for downloading and extracting data files from URLs, using urllib for file size checks and shutil for moving files.
• Generated dynamic file names based on year and quarter using list comprehensions and the datetime module.

Achievements:

• Successfully refactored Python scripts for file management tasks, including renaming, extracting, and organizing files.
• Improved code efficiency and compactness by utilizing appropriate libraries and methods.

Pending Tasks:

• Further explore advanced file management techniques and error handling in Python to enhance robustness.

Evidence

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• event_ids: []