Optimized Python Scripts for Data Parsing

📅 2023-01-05 — Session: Optimized Python Scripts for Data Parsing

🕒 09:00–10:00
🏷️ Labels: Python, Data Parsing, Optimization, Visual Studio Code
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to optimize Python scripts for parsing and processing data efficiently, particularly focusing on dictionary and CSV file handling.

Key Activities

• Explored tools in Visual Studio Code for file comparison, including built-in features and extensions.
• Developed a Python script to parse dictionaries from DCF files, with optimizations using context managers and list comprehensions.
• Demonstrated parsing of dictionary data into Pandas DataFrames using the pycspro library.
• Utilized json.loads() to parse DCF files into Python dictionaries and extract data columns.
• Addressed JSONDecodeError by implementing UTF-8-SIG encoding.
• Discussed optimization techniques for reading multiple CSV files into a single DataFrame, highlighting trade-offs between compactness and efficiency.

Achievements

• Successfully optimized the dictionary parsing script for better performance.
• Implemented error handling for JSONDecodeError using appropriate encoding.
• Enhanced CSV file reading and DataFrame concatenation techniques.

Pending Tasks

• Further explore additional Python libraries for data parsing and optimization.
• Consider integrating more advanced error handling mechanisms for robust data processing.