Refactored Debt Ledger Processing Script

📅 2025-02-06 — Session: Refactored Debt Ledger Processing Script

🕒 01:00–03:40
🏷️ Labels: Debt Ledger, Python, Financial Analysis, Data Processing, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

The primary goal of this session was to enhance the debt ledger processing script and improve financial data handling workflows.

Refactored a Python script for processing a debt ledger, focusing on modular functions for loading, preprocessing, filtering, and aggregating debt categories.
Implemented an optimized one-liner for loading the CCL sheet and converting the ‘fecha’ column to datetime format.
Addressed the SettingWithCopyWarning in Pandas by using the .loc indexer.
Integrated a function for computing outstanding debt into the workflow.
Developed a function to adjust debt by CCL exchange rates, allowing for flexible time period alignment.
Optimized the financial analysis workflow with standardized time aggregation and centralized data handling.
Analyzed and classified financial tables for enhanced reporting and insights.

Improved maintainability and performance of the debt ledger processing script.
Streamlined data retrieval and preprocessing for financial analysis.
Enhanced safety and accuracy in DataFrame manipulations.
Provided a structured workflow for outstanding debt computation.
Enabled dynamic financial reporting and analysis through table classification and insights.

Further enhancement of dynamic frequency handling, error management, and extended plotting functionalities in financial analysis workflows.