Developed robust Python scripts for file processing

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📅 2023-03-26 — Session: Developed robust Python scripts for file processing

🕒 15:55–16:20
🏷️ Labels: Python, File Handling, Error Handling, XML, Regex
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and enhance Python scripts for processing files, focusing on counting URLs, handling file encoding issues, and managing large XML files.

Key Activities

  • Developed a Python script to count URLs in files using regular expressions and the os module for directory traversal.
  • Enhanced file reading capabilities by integrating the chardet library to detect file encoding and handle potential decoding errors.
  • Improved error handling in the URL counting script to ensure robustness in cases of undetectable file encodings.
  • Explored strategies for processing large XML files using the xml.etree.ElementTree module, focusing on streaming parsing and memory management.
  • Explained the use of XML schemas and DTDs for XML document validation, providing code examples with Python’s xml.etree.ElementTree and xml.sax modules.

Achievements

  • Successfully developed a robust URL counting script with enhanced error handling.
  • Addressed file encoding challenges using the chardet library.
  • Gained insights into efficient processing of large XML files and XML validation techniques.

Pending Tasks

  • Further testing of the XML processing strategies on different datasets to ensure scalability and performance.

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