Enhanced Python Data Processing Pipeline

📅 2023-10-04 — Session: Enhanced Python Data Processing Pipeline

🕒 00:25–01:25
🏷️ Labels: Python, Data Processing, Code Refactoring, JSON, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: Enhance the Python data processing pipeline for improved efficiency and clarity.

Key Activities:

• Modified a data processing script to reset data after processing each grouper and load existing data files, preventing overwriting during quarterly processing.
• Refactored a Python function to streamline data processing based on groupers and base string settings, reducing code duplication.
• Unified iteration over base strings using a mapping dictionary to enhance code readability and efficiency.
• Revised data grouping in JSON processing to ensure updates are specific to each base string and grouper combination.
• Updated the merge_jsons function to improve JSON data merging by correctly updating existing quarter values.
• Implemented data segregation between groupersP and groupersH to ensure distinct data merging.
• Developed a Python function to generate quarterly dates using dateutil.relativedelta.

Achievements:

• Successfully enhanced the data processing pipeline with improved code clarity and efficiency.

Pending Tasks:

• Further testing and validation of the updated functions to ensure robustness in various data scenarios.